fInput2 = in2;
fInput3 = in3;
fInput4 = in4;
- switch(index)
- {
+ switch(index)
+ {
case 0:
- return Neuron0x945d4f0();
+ return Neuron0x93bc708();
case 1:
- return Neuron0x945f490();
+ return Neuron0x93be5d0();
default:
return 0.;
}
}
-Double_t AliCaloNeuralFit::Neuron0x945cbe8() const
+Double_t AliCaloNeuralFit::Neuron0x8ceb770() const
{
//
// Input neuron.
return fInput0;
}
-Double_t AliCaloNeuralFit::Neuron0x945cd78() const
+Double_t AliCaloNeuralFit::Neuron0x8ceb900() const
{
//
// Input neuron.
return fInput1;
}
-Double_t AliCaloNeuralFit::Neuron0x945cf50() const
+Double_t AliCaloNeuralFit::Neuron0x8cebad8() const
{
//
// Input neuron.
return fInput2;
}
-Double_t AliCaloNeuralFit::Neuron0x945d128() const
+Double_t AliCaloNeuralFit::Neuron0x8cebcb0() const
{
//
// Input neuron.
return fInput3;
}
-Double_t AliCaloNeuralFit::Neuron0x945d300() const
+Double_t AliCaloNeuralFit::Neuron0x93bc518() const
{
//
// Input neuron.
return fInput4;
}
-Double_t AliCaloNeuralFit::Input0x945d620() const
+Double_t AliCaloNeuralFit::Input0x93bc838() const
{
//
// Hidden/Output neuron
// Compute the activation from linear combination of
// all neurons going into this, each one times its synaptic weight
//
-
- Double_t input = -0.508174;
- input += Synapse0x943edb8();
- input += Synapse0x945d7d0();
- input += Synapse0x945d7f8();
- input += Synapse0x945d820();
- input += Synapse0x945d848();
+ Double_t input = -0.097207;
+ input += Synapse0x93bc9e8();
+ input += Synapse0x93bca10();
+ input += Synapse0x93bca38();
+ input += Synapse0x93bca60();
+ input += Synapse0x93bca88();
return input;
}
-Double_t AliCaloNeuralFit::Neuron0x945d620() const
+Double_t AliCaloNeuralFit::Neuron0x93bc838() const
{
//
// Hidden/Output neuron
// Return computed activation
//
- Double_t input = Input0x945d620();
+ Double_t input = Input0x93bc838();
return (tanh(input) * 1)+0;
}
-Double_t AliCaloNeuralFit::Input0x945d870() const
+Double_t AliCaloNeuralFit::Input0x93bcab0() const
{
//
// Hidden/Output neuron
// Compute the activation from linear combination of
// all neurons going into this, each one times its synaptic weight
//
- Double_t input = 0.29145;
- input += Synapse0x945da68();
- input += Synapse0x945da90();
- input += Synapse0x945dab8();
- input += Synapse0x945dae0();
- input += Synapse0x945db08();
+ Double_t input = 0.0466086;
+ input += Synapse0x93bcca8();
+ input += Synapse0x93bccd0();
+ input += Synapse0x93bccf8();
+ input += Synapse0x93bcd20();
+ input += Synapse0x93bcd48();
return input;
}
-Double_t AliCaloNeuralFit::Neuron0x945d870() const
+Double_t AliCaloNeuralFit::Neuron0x93bcab0() const
{
//
// Hidden/Output neuron
// Return computed activation
//
- Double_t input = Input0x945d870();
+ Double_t input = Input0x93bcab0();
return (tanh(input) * 1)+0;
}
-Double_t AliCaloNeuralFit::Input0x945db30() const
+Double_t AliCaloNeuralFit::Input0x93bcd70() const
{
//
// Hidden/Output neuron
// Compute the activation from linear combination of
// all neurons going into this, each one times its synaptic weight
//
- Double_t input = -0.132489;
- input += Synapse0x945dd28();
- input += Synapse0x945dd50();
- input += Synapse0x945dd78();
- input += Synapse0x945dda0();
- input += Synapse0x945ddc8();
+ Double_t input = 0.617042;
+ input += Synapse0x93bcf68();
+ input += Synapse0x93bcf90();
+ input += Synapse0x93bcfb8();
+ input += Synapse0x93bcfe0();
+ input += Synapse0x93bd008();
return input;
}
-Double_t AliCaloNeuralFit::Neuron0x945db30() const
+Double_t AliCaloNeuralFit::Neuron0x93bcd70() const
{
//
// Hidden/Output neuron
// Return computed activation
//
- Double_t input = Input0x945db30();
+ Double_t input = Input0x93bcd70();
return (tanh(input) * 1)+0;
}
-Double_t AliCaloNeuralFit::Input0x945ddf0() const
+Double_t AliCaloNeuralFit::Input0x93bd030() const
{
//
// Hidden/Output neuron
// Compute the activation from linear combination of
// all neurons going into this, each one times its synaptic weight
//
- Double_t input = -1.12891;
- input += Synapse0x945dfe8();
- input += Synapse0x945e010();
- input += Synapse0x945e0c0();
- input += Synapse0x945e0e8();
- input += Synapse0x945e110();
+ Double_t input = -0.519529;
+ input += Synapse0x93bd228();
+ input += Synapse0x93bd250();
+ input += Synapse0x93bd300();
+ input += Synapse0x93bd328();
+ input += Synapse0x93bd350();
return input;
}
-Double_t AliCaloNeuralFit::Neuron0x945ddf0() const
+Double_t AliCaloNeuralFit::Neuron0x93bd030() const
{
//
// Hidden/Output neuron
// Return computed activation
//
- Double_t input = Input0x945ddf0();
+ Double_t input = Input0x93bd030();
return (tanh(input) * 1)+0;
}
-Double_t AliCaloNeuralFit::Input0x945e138() const
+Double_t AliCaloNeuralFit::Input0x93bd378() const
{
//
// Hidden/Output neuron
// Compute the activation from linear combination of
// all neurons going into this, each one times its synaptic weight
//
- Double_t input = 0.576896;
- input += Synapse0x945e2e8();
- input += Synapse0x945e310();
- input += Synapse0x945e338();
- input += Synapse0x945e360();
- input += Synapse0x945e388();
+ Double_t input = -0.405186;
+ input += Synapse0x93bd528();
+ input += Synapse0x93bd550();
+ input += Synapse0x93bd578();
+ input += Synapse0x93bd5a0();
+ input += Synapse0x93bd5c8();
return input;
}
-Double_t AliCaloNeuralFit::Neuron0x945e138() const
+Double_t AliCaloNeuralFit::Neuron0x93bd378() const
{
//
// Hidden/Output neuron
// Return computed activation
//
- Double_t input = Input0x945e138();
+ Double_t input = Input0x93bd378();
return (tanh(input) * 1)+0;
}
-Double_t AliCaloNeuralFit::Input0x945e3b0() const
+Double_t AliCaloNeuralFit::Input0x93bd5f0() const
{
//
// Hidden/Output neuron
// Compute the activation from linear combination of
// all neurons going into this, each one times its synaptic weight
//
- Double_t input = 0.654194;
- input += Synapse0x945e5a8();
- input += Synapse0x945e5d0();
- input += Synapse0x945e5f8();
- input += Synapse0x945e620();
- input += Synapse0x945e648();
+ Double_t input = -0.253465;
+ input += Synapse0x93bd7e8();
+ input += Synapse0x93bd810();
+ input += Synapse0x93bd838();
+ input += Synapse0x93bd860();
+ input += Synapse0x93bd888();
return input;
}
-Double_t AliCaloNeuralFit::Neuron0x945e3b0() const
+Double_t AliCaloNeuralFit::Neuron0x93bd5f0() const
{
//
// Hidden/Output neuron
// Return computed activation
//
- Double_t input = Input0x945e3b0();
+ Double_t input = Input0x93bd5f0();
return (tanh(input) * 1)+0;
}
-Double_t AliCaloNeuralFit::Input0x945e670() const
+Double_t AliCaloNeuralFit::Input0x93bd8b0() const
{
//
// Hidden/Output neuron
// Compute the activation from linear combination of
// all neurons going into this, each one times its synaptic weight
//
- Double_t input = -0.356397;
- input += Synapse0x945e868();
- input += Synapse0x945e890();
- input += Synapse0x945e8b8();
- input += Synapse0x945e038();
- input += Synapse0x945e060();
+ Double_t input = 0.0340672;
+ input += Synapse0x93bdaa8();
+ input += Synapse0x93bdad0();
+ input += Synapse0x93bdaf8();
+ input += Synapse0x8ce7098();
+ input += Synapse0x8ce70c0();
return input;
}
-Double_t AliCaloNeuralFit::Neuron0x945e670() const
+Double_t AliCaloNeuralFit::Neuron0x93bd8b0() const
{
//
// Hidden/Output neuron
// Return computed activation
//
- Double_t input = Input0x945e670();
+ Double_t input = Input0x93bd8b0();
return (tanh(input) * 1)+0;
}
-Double_t AliCaloNeuralFit::Input0x945e9e8() const
+Double_t AliCaloNeuralFit::Input0x93bdc28() const
{
//
// Hidden/Output neuron
// Compute the activation from linear combination of
// all neurons going into this, each one times its synaptic weight
//
- Double_t input = -0.798487;
- input += Synapse0x945ebe0();
- input += Synapse0x945ec08();
- input += Synapse0x945ec30();
- input += Synapse0x945ec58();
- input += Synapse0x945ec80();
+ Double_t input = 0.231599;
+ input += Synapse0x93bde20();
+ input += Synapse0x93bde48();
+ input += Synapse0x93bde70();
+ input += Synapse0x93bde98();
+ input += Synapse0x93bdec0();
return input;
}
-Double_t AliCaloNeuralFit::Neuron0x945e9e8() const
+Double_t AliCaloNeuralFit::Neuron0x93bdc28() const
{
//
// Hidden/Output neuron
// Return computed activation
//
- Double_t input = Input0x945e9e8();
+ Double_t input = Input0x93bdc28();
return (tanh(input) * 1)+0;
}
-Double_t AliCaloNeuralFit::Input0x945eca8() const
+Double_t AliCaloNeuralFit::Input0x93bdee8() const
{
//
// Hidden/Output neuron
// Compute the activation from linear combination of
// all neurons going into this, each one times its synaptic weight
//
- Double_t input = -0.934985;
- input += Synapse0x945eea0();
- input += Synapse0x945eec8();
- input += Synapse0x945eef0();
- input += Synapse0x945ef18();
- input += Synapse0x945ef40();
+ Double_t input = 0.56831;
+ input += Synapse0x93be0e0();
+ input += Synapse0x93be108();
+ input += Synapse0x93be130();
+ input += Synapse0x93be158();
+ input += Synapse0x93be180();
return input;
}
-Double_t AliCaloNeuralFit::Neuron0x945eca8() const
+Double_t AliCaloNeuralFit::Neuron0x93bdee8() const
{
//
// Hidden/Output neuron
// Return computed activation
//
- Double_t input = Input0x945eca8();
+ Double_t input = Input0x93bdee8();
return (tanh(input) * 1)+0;
}
-Double_t AliCaloNeuralFit::Input0x945ef68() const
+Double_t AliCaloNeuralFit::Input0x93be1a8() const
{
//
// Hidden/Output neuron
// Compute the activation from linear combination of
// all neurons going into this, each one times its synaptic weight
//
- Double_t input = -0.457775;
- input += Synapse0x945f160();
- input += Synapse0x945f188();
- input += Synapse0x945f1b0();
- input += Synapse0x945f1d8();
- input += Synapse0x945f200();
+ Double_t input = 0.223889;
+ input += Synapse0x93be3a0();
+ input += Synapse0x93be3c8();
+ input += Synapse0x93be3f0();
+ input += Synapse0x93be418();
+ input += Synapse0x93be440();
return input;
}
-Double_t AliCaloNeuralFit::Neuron0x945ef68() const
+Double_t AliCaloNeuralFit::Neuron0x93be1a8() const
{
//
// Hidden/Output neuron
// Return computed activation
//
- Double_t input = Input0x945ef68();
+ Double_t input = Input0x93be1a8();
return (tanh(input) * 1)+0;
}
-Double_t AliCaloNeuralFit::Input0x945d4f0() const
+Double_t AliCaloNeuralFit::Input0x93bc708() const
{
//
// Hidden/Output neuron
// Compute the activation from linear combination of
// all neurons going into this, each one times its synaptic weight
//
- Double_t input = 0.849942;
- input += Synapse0x945f300();
- input += Synapse0x945f328();
- input += Synapse0x945f350();
- input += Synapse0x945f378();
- input += Synapse0x945f3a0();
- input += Synapse0x945f3c8();
- input += Synapse0x945f3f0();
- input += Synapse0x945f418();
- input += Synapse0x945f440();
- input += Synapse0x945f468();
+ Double_t input = 0.565736;
+ input += Synapse0x93bd2c0();
+ input += Synapse0x93be468();
+ input += Synapse0x93be490();
+ input += Synapse0x93be4b8();
+ input += Synapse0x93be4e0();
+ input += Synapse0x93be508();
+ input += Synapse0x93be530();
+ input += Synapse0x93be558();
+ input += Synapse0x93be580();
+ input += Synapse0x93be5a8();
return input;
}
-Double_t AliCaloNeuralFit::Neuron0x945d4f0() const
+Double_t AliCaloNeuralFit::Neuron0x93bc708() const
{
//
// Hidden/Output neuron
// Return computed activation
//
- Double_t input = Input0x945d4f0();
+ Double_t input = Input0x93bc708();
return (input * 1)+0;
}
-Double_t AliCaloNeuralFit::Input0x945f490() const
+Double_t AliCaloNeuralFit::Input0x93be5d0() const
{
//
// Hidden/Output neuron
// Compute the activation from linear combination of
// all neurons going into this, each one times its synaptic weight
//
- Double_t input = -0.147416;
- input += Synapse0x945f690();
- input += Synapse0x945f6b8();
- input += Synapse0x945f6e0();
- input += Synapse0x945f708();
- input += Synapse0x945f730();
- input += Synapse0x936a1f0();
- input += Synapse0x943ee18();
- input += Synapse0x945cb70();
- input += Synapse0x945cb98();
- input += Synapse0x945cbc0();
+ Double_t input = 0.311772;
+ input += Synapse0x93be7d0();
+ input += Synapse0x93be7f8();
+ input += Synapse0x93be820();
+ input += Synapse0x93be848();
+ input += Synapse0x93be870();
+ input += Synapse0x934a7c8();
+ input += Synapse0x93605e0();
+ input += Synapse0x9360608();
+ input += Synapse0x8ce6fe8();
+ input += Synapse0x8ce7010();
return input;
}
-Double_t AliCaloNeuralFit::Neuron0x945f490() const
+Double_t AliCaloNeuralFit::Neuron0x93be5d0() const
{
//
// Hidden/Output neuron
// Return computed activation
//
- Double_t input = Input0x945f490();
+ Double_t input = Input0x93be5d0();
return (input * 1)+0;
}
-Double_t AliCaloNeuralFit::Synapse0x943edb8() const
+Double_t AliCaloNeuralFit::Synapse0x93bc9e8() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945cbe8()*-0.104546);
+ return (Neuron0x8ceb770()*-0.173079);
}
-Double_t AliCaloNeuralFit::Synapse0x945d7d0() const
+Double_t AliCaloNeuralFit::Synapse0x93bca10() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945cd78()*-0.0905177);
+ return (Neuron0x8ceb900()*-0.356515);
}
-Double_t AliCaloNeuralFit::Synapse0x945d7f8() const
+Double_t AliCaloNeuralFit::Synapse0x93bca38() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945cf50()*-0.143637);
+ return (Neuron0x8cebad8()*0.116333);
}
-Double_t AliCaloNeuralFit::Synapse0x945d820() const
+Double_t AliCaloNeuralFit::Synapse0x93bca60() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945d128()*-0.413064);
+ return (Neuron0x8cebcb0()*-0.0647334);
}
-Double_t AliCaloNeuralFit::Synapse0x945d848() const
+Double_t AliCaloNeuralFit::Synapse0x93bca88() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945d300()*0.883744);
+ return (Neuron0x93bc518()*0.135181);
}
-Double_t AliCaloNeuralFit::Synapse0x945da68() const
+Double_t AliCaloNeuralFit::Synapse0x93bcca8() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945cbe8()*-1.26724);
+ return (Neuron0x8ceb770()*-0.00703734);
}
-Double_t AliCaloNeuralFit::Synapse0x945da90() const
+Double_t AliCaloNeuralFit::Synapse0x93bccd0() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945cd78()*-0.14136);
+ return (Neuron0x8ceb900()*1.04245);
}
-Double_t AliCaloNeuralFit::Synapse0x945dab8() const
+Double_t AliCaloNeuralFit::Synapse0x93bccf8() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945cf50()*0.27187);
+ return (Neuron0x8cebad8()*0.70812);
}
-Double_t AliCaloNeuralFit::Synapse0x945dae0() const
+Double_t AliCaloNeuralFit::Synapse0x93bcd20() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945d128()*0.563302);
+ return (Neuron0x8cebcb0()*-0.486738);
}
-Double_t AliCaloNeuralFit::Synapse0x945db08() const
+Double_t AliCaloNeuralFit::Synapse0x93bcd48() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945d300()*1.38006);
+ return (Neuron0x93bc518()*-0.623982);
}
-Double_t AliCaloNeuralFit::Synapse0x945dd28() const
+Double_t AliCaloNeuralFit::Synapse0x93bcf68() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945cbe8()*-0.235737);
+ return (Neuron0x8ceb770()*0.0557636);
}
-Double_t AliCaloNeuralFit::Synapse0x945dd50() const
+Double_t AliCaloNeuralFit::Synapse0x93bcf90() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945cd78()*0.715314);
+ return (Neuron0x8ceb900()*0.503374);
}
-Double_t AliCaloNeuralFit::Synapse0x945dd78() const
+Double_t AliCaloNeuralFit::Synapse0x93bcfb8() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945cf50()*-0.893506);
+ return (Neuron0x8cebad8()*-0.0500216);
}
-Double_t AliCaloNeuralFit::Synapse0x945dda0() const
+Double_t AliCaloNeuralFit::Synapse0x93bcfe0() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945d128()*1.66689);
+ return (Neuron0x8cebcb0()*0.0561266);
}
-Double_t AliCaloNeuralFit::Synapse0x945ddc8() const
+Double_t AliCaloNeuralFit::Synapse0x93bd008() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945d300()*0.433463);
+ return (Neuron0x93bc518()*-0.403885);
}
-Double_t AliCaloNeuralFit::Synapse0x945dfe8() const
+Double_t AliCaloNeuralFit::Synapse0x93bd228() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945cbe8()*0.198835);
+ return (Neuron0x8ceb770()*-0.0649038);
}
-Double_t AliCaloNeuralFit::Synapse0x945e010() const
+Double_t AliCaloNeuralFit::Synapse0x93bd250() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945cd78()*1.67429);
+ return (Neuron0x8ceb900()*-0.164437);
}
-Double_t AliCaloNeuralFit::Synapse0x945e0c0() const
+Double_t AliCaloNeuralFit::Synapse0x93bd300() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945cf50()*-1.19328);
+ return (Neuron0x8cebad8()*-0.657412);
}
-Double_t AliCaloNeuralFit::Synapse0x945e0e8() const
+Double_t AliCaloNeuralFit::Synapse0x93bd328() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945d128()*2.5465);
+ return (Neuron0x8cebcb0()*0.175571);
}
-Double_t AliCaloNeuralFit::Synapse0x945e110() const
+Double_t AliCaloNeuralFit::Synapse0x93bd350() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945d300()*0.153072);
+ return (Neuron0x93bc518()*0.588896);
}
-Double_t AliCaloNeuralFit::Synapse0x945e2e8() const
+Double_t AliCaloNeuralFit::Synapse0x93bd528() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945cbe8()*0.0815823);
+ return (Neuron0x8ceb770()*-0.00361627);
}
-Double_t AliCaloNeuralFit::Synapse0x945e310() const
+Double_t AliCaloNeuralFit::Synapse0x93bd550() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945cd78()*0.0316826);
+ return (Neuron0x8ceb900()*0.398821);
}
-Double_t AliCaloNeuralFit::Synapse0x945e338() const
+Double_t AliCaloNeuralFit::Synapse0x93bd578() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945cf50()*0.617448);
+ return (Neuron0x8cebad8()*0.38779);
}
-Double_t AliCaloNeuralFit::Synapse0x945e360() const
+Double_t AliCaloNeuralFit::Synapse0x93bd5a0() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945d128()*-0.749993);
+ return (Neuron0x8cebcb0()*0.341009);
}
-Double_t AliCaloNeuralFit::Synapse0x945e388() const
+Double_t AliCaloNeuralFit::Synapse0x93bd5c8() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945d300()*-0.980764);
+ return (Neuron0x93bc518()*0.290214);
}
-Double_t AliCaloNeuralFit::Synapse0x945e5a8() const
+Double_t AliCaloNeuralFit::Synapse0x93bd7e8() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945cbe8()*-0.453657);
+ return (Neuron0x8ceb770()*-0.238609);
}
-Double_t AliCaloNeuralFit::Synapse0x945e5d0() const
+Double_t AliCaloNeuralFit::Synapse0x93bd810() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945cd78()*0.146578);
+ return (Neuron0x8ceb900()*-0.193207);
}
-Double_t AliCaloNeuralFit::Synapse0x945e5f8() const
+Double_t AliCaloNeuralFit::Synapse0x93bd838() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945cf50()*0.123041);
+ return (Neuron0x8cebad8()*0.304672);
}
-Double_t AliCaloNeuralFit::Synapse0x945e620() const
+Double_t AliCaloNeuralFit::Synapse0x93bd860() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945d128()*0.189871);
+ return (Neuron0x8cebcb0()*-0.327625);
}
-Double_t AliCaloNeuralFit::Synapse0x945e648() const
+Double_t AliCaloNeuralFit::Synapse0x93bd888() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945d300()*-0.153873);
+ return (Neuron0x93bc518()*-0.268996);
}
-Double_t AliCaloNeuralFit::Synapse0x945e868() const
+Double_t AliCaloNeuralFit::Synapse0x93bdaa8() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945cbe8()*-0.0569668);
+ return (Neuron0x8ceb770()*0.725989);
}
-Double_t AliCaloNeuralFit::Synapse0x945e890() const
+Double_t AliCaloNeuralFit::Synapse0x93bdad0() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945cd78()*-0.0208438);
+ return (Neuron0x8ceb900()*-0.217538);
}
-Double_t AliCaloNeuralFit::Synapse0x945e8b8() const
+Double_t AliCaloNeuralFit::Synapse0x93bdaf8() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945cf50()*-0.662575);
+ return (Neuron0x8cebad8()*-0.603975);
}
-Double_t AliCaloNeuralFit::Synapse0x945e038() const
+Double_t AliCaloNeuralFit::Synapse0x8ce7098() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945d128()*-0.308952);
+ return (Neuron0x8cebcb0()*0.175658);
}
-Double_t AliCaloNeuralFit::Synapse0x945e060() const
+Double_t AliCaloNeuralFit::Synapse0x8ce70c0() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945d300()*-0.0591419);
+ return (Neuron0x93bc518()*-0.262399);
}
-Double_t AliCaloNeuralFit::Synapse0x945ebe0() const
+Double_t AliCaloNeuralFit::Synapse0x93bde20() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945cbe8()*0.203333);
+ return (Neuron0x8ceb770()*-1.08242);
}
-Double_t AliCaloNeuralFit::Synapse0x945ec08() const
+Double_t AliCaloNeuralFit::Synapse0x93bde48() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945cd78()*-0.210458);
+ return (Neuron0x8ceb900()*0.41456);
}
-Double_t AliCaloNeuralFit::Synapse0x945ec30() const
+Double_t AliCaloNeuralFit::Synapse0x93bde70() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945cf50()*-0.46208);
+ return (Neuron0x8cebad8()*0.117809);
}
-Double_t AliCaloNeuralFit::Synapse0x945ec58() const
+Double_t AliCaloNeuralFit::Synapse0x93bde98() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945d128()*-0.213809);
+ return (Neuron0x8cebcb0()*0.514938);
}
-Double_t AliCaloNeuralFit::Synapse0x945ec80() const
+Double_t AliCaloNeuralFit::Synapse0x93bdec0() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945d300()*0.652572);
+ return (Neuron0x93bc518()*-0.193678);
}
-Double_t AliCaloNeuralFit::Synapse0x945eea0() const
+Double_t AliCaloNeuralFit::Synapse0x93be0e0() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945cbe8()*0.53005);
+ return (Neuron0x8ceb770()*0.580561);
}
-Double_t AliCaloNeuralFit::Synapse0x945eec8() const
+Double_t AliCaloNeuralFit::Synapse0x93be108() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945cd78()*1.97055);
+ return (Neuron0x8ceb900()*0.610453);
}
-Double_t AliCaloNeuralFit::Synapse0x945eef0() const
+Double_t AliCaloNeuralFit::Synapse0x93be130() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945cf50()*-0.934772);
+ return (Neuron0x8cebad8()*0.4977);
}
-Double_t AliCaloNeuralFit::Synapse0x945ef18() const
+Double_t AliCaloNeuralFit::Synapse0x93be158() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945d128()*-0.253289);
+ return (Neuron0x8cebcb0()*-0.328315);
}
-Double_t AliCaloNeuralFit::Synapse0x945ef40() const
+Double_t AliCaloNeuralFit::Synapse0x93be180() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945d300()*-0.190109);
+ return (Neuron0x93bc518()*-0.729094);
}
-Double_t AliCaloNeuralFit::Synapse0x945f160() const
+Double_t AliCaloNeuralFit::Synapse0x93be3a0() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945cbe8()*0.111492);
+ return (Neuron0x8ceb770()*0.172817);
}
-Double_t AliCaloNeuralFit::Synapse0x945f188() const
+Double_t AliCaloNeuralFit::Synapse0x93be3c8() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945cd78()*0.928076);
+ return (Neuron0x8ceb900()*0.288833);
}
-Double_t AliCaloNeuralFit::Synapse0x945f1b0() const
+Double_t AliCaloNeuralFit::Synapse0x93be3f0() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945cf50()*0.178153);
+ return (Neuron0x8cebad8()*0.0242409);
}
-Double_t AliCaloNeuralFit::Synapse0x945f1d8() const
+Double_t AliCaloNeuralFit::Synapse0x93be418() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945d128()*-0.750558);
+ return (Neuron0x8cebcb0()*0.273568);
}
-Double_t AliCaloNeuralFit::Synapse0x945f200() const
+Double_t AliCaloNeuralFit::Synapse0x93be440() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945d300()*-1.40984);
+ return (Neuron0x93bc518()*0.261816);
}
-Double_t AliCaloNeuralFit::Synapse0x945f300() const
+Double_t AliCaloNeuralFit::Synapse0x93bd2c0() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945d620()*-0.838377);
+ return (Neuron0x93bc838()*-0.332154);
}
-Double_t AliCaloNeuralFit::Synapse0x945f328() const
+Double_t AliCaloNeuralFit::Synapse0x93be468() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945d870()*0.191143);
+ return (Neuron0x93bcab0()*0.175458);
}
-Double_t AliCaloNeuralFit::Synapse0x945f350() const
+Double_t AliCaloNeuralFit::Synapse0x93be490() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945db30()*-0.453988);
+ return (Neuron0x93bcd70()*0.211775);
}
-Double_t AliCaloNeuralFit::Synapse0x945f378() const
+Double_t AliCaloNeuralFit::Synapse0x93be4b8() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945ddf0()*-0.520562);
+ return (Neuron0x93bd030()*0.335443);
}
-Double_t AliCaloNeuralFit::Synapse0x945f3a0() const
+Double_t AliCaloNeuralFit::Synapse0x93be4e0() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945e138()*-0.995398);
+ return (Neuron0x93bd378()*0.341079);
}
-Double_t AliCaloNeuralFit::Synapse0x945f3c8() const
+Double_t AliCaloNeuralFit::Synapse0x93be508() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945e3b0()*-0.114216);
+ return (Neuron0x93bd5f0()*-0.324381);
}
-Double_t AliCaloNeuralFit::Synapse0x945f3f0() const
+Double_t AliCaloNeuralFit::Synapse0x93be530() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945e670()*-0.72899);
+ return (Neuron0x93bd8b0()*0.135666);
}
-Double_t AliCaloNeuralFit::Synapse0x945f418() const
+Double_t AliCaloNeuralFit::Synapse0x93be558() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945e9e8()*-0.453087);
+ return (Neuron0x93bdc28()*-0.0213577);
}
-Double_t AliCaloNeuralFit::Synapse0x945f440() const
+Double_t AliCaloNeuralFit::Synapse0x93be580() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945eca8()*0.0891431);
+ return (Neuron0x93bdee8()*-0.598335);
}
-Double_t AliCaloNeuralFit::Synapse0x945f468() const
+Double_t AliCaloNeuralFit::Synapse0x93be5a8() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945ef68()*0.679937);
+ return (Neuron0x93be1a8()*0.636813);
}
-Double_t AliCaloNeuralFit::Synapse0x945f690() const
+Double_t AliCaloNeuralFit::Synapse0x93be7d0() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945d620()*0.806704);
+ return (Neuron0x93bc838()*0.173357);
}
-Double_t AliCaloNeuralFit::Synapse0x945f6b8() const
+Double_t AliCaloNeuralFit::Synapse0x93be7f8() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945d870()*-1.27447);
+ return (Neuron0x93bcab0()*-0.971616);
}
-Double_t AliCaloNeuralFit::Synapse0x945f6e0() const
+Double_t AliCaloNeuralFit::Synapse0x93be820() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945db30()*1.0306);
+ return (Neuron0x93bcd70()*-0.38099);
}
-Double_t AliCaloNeuralFit::Synapse0x945f708() const
+Double_t AliCaloNeuralFit::Synapse0x93be848() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945ddf0()*2.09234);
+ return (Neuron0x93bd030()*0.351755);
}
-Double_t AliCaloNeuralFit::Synapse0x945f730() const
+Double_t AliCaloNeuralFit::Synapse0x93be870() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945e138()*0.0643316);
+ return (Neuron0x93bd378()*0.106307);
}
-Double_t AliCaloNeuralFit::Synapse0x936a1f0() const
+Double_t AliCaloNeuralFit::Synapse0x934a7c8() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945e3b0()*-0.204933);
+ return (Neuron0x93bd5f0()*0.118656);
}
-Double_t AliCaloNeuralFit::Synapse0x943ee18() const
+Double_t AliCaloNeuralFit::Synapse0x93605e0() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945e670()*0.423604);
+ return (Neuron0x93bd8b0()*-0.447119);
}
-Double_t AliCaloNeuralFit::Synapse0x945cb70() const
+Double_t AliCaloNeuralFit::Synapse0x9360608() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945e9e8()*1.00527);
+ return (Neuron0x93bdc28()*0.677259);
}
-Double_t AliCaloNeuralFit::Synapse0x945cb98() const
+Double_t AliCaloNeuralFit::Synapse0x8ce6fe8() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945eca8()*-1.54485);
+ return (Neuron0x93bdee8()*-0.246138);
}
-Double_t AliCaloNeuralFit::Synapse0x945cbc0() const
+Double_t AliCaloNeuralFit::Synapse0x8ce7010() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x945ef68()*0.540381);
+ return (Neuron0x93be1a8()*-0.117442);
}
-
git://git.uio.no / u / mrichter / AliRoot.git / blobdiff