switch(index)
{
case 0:
- return Neuron0x9fdedf8();
+ return Neuron0x93bc708();
case 1:
- return Neuron0x9fe0da0();
+ return Neuron0x93be5d0();
default:
return 0.;
}
}
-Double_t AliCaloNeuralFit::Neuron0x9fd0208() const
+Double_t AliCaloNeuralFit::Neuron0x8ceb770() const
{
//
// Input neuron.
return fInput0;
}
-Double_t AliCaloNeuralFit::Neuron0x9fd0398() const
+Double_t AliCaloNeuralFit::Neuron0x8ceb900() const
{
//
// Input neuron.
return fInput1;
}
-Double_t AliCaloNeuralFit::Neuron0x9fd0570() const
+Double_t AliCaloNeuralFit::Neuron0x8cebad8() const
{
//
// Input neuron.
return fInput2;
}
-Double_t AliCaloNeuralFit::Neuron0x9fd0748() const
+Double_t AliCaloNeuralFit::Neuron0x8cebcb0() const
{
//
// Input neuron.
return fInput3;
}
-Double_t AliCaloNeuralFit::Neuron0x9fdec20() const
+Double_t AliCaloNeuralFit::Neuron0x93bc518() const
{
//
// Input neuron.
return fInput4;
}
-Double_t AliCaloNeuralFit::Input0x9fdef28() 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 = 1.01367;
- input += Synapse0x9fdf0d8();
- input += Synapse0x9fdf100();
- input += Synapse0x9fdf128();
- input += Synapse0x9fdf150();
- input += Synapse0x9fdf178();
+ Double_t input = -0.097207;
+ input += Synapse0x93bc9e8();
+ input += Synapse0x93bca10();
+ input += Synapse0x93bca38();
+ input += Synapse0x93bca60();
+ input += Synapse0x93bca88();
return input;
}
-Double_t AliCaloNeuralFit::Neuron0x9fdef28() const
+Double_t AliCaloNeuralFit::Neuron0x93bc838() const
{
//
// Hidden/Output neuron
// Return computed activation
//
- Double_t input = Input0x9fdef28();
+ Double_t input = Input0x93bc838();
return (tanh(input) * 1)+0;
}
-Double_t AliCaloNeuralFit::Input0x9fdf1a0() 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 = -0.388335;
- input += Synapse0x9fdf398();
- input += Synapse0x9fdf3c0();
- input += Synapse0x9fdf3e8();
- input += Synapse0x9fdf410();
- input += Synapse0x9fdf438();
+ Double_t input = 0.0466086;
+ input += Synapse0x93bcca8();
+ input += Synapse0x93bccd0();
+ input += Synapse0x93bccf8();
+ input += Synapse0x93bcd20();
+ input += Synapse0x93bcd48();
return input;
}
-Double_t AliCaloNeuralFit::Neuron0x9fdf1a0() const
+Double_t AliCaloNeuralFit::Neuron0x93bcab0() const
{
//
// Hidden/Output neuron
// Return computed activation
//
- Double_t input = Input0x9fdf1a0();
+ Double_t input = Input0x93bcab0();
return (tanh(input) * 1)+0;
}
-Double_t AliCaloNeuralFit::Input0x9fdf460() 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 = -0.547781;
- input += Synapse0x9fdf658();
- input += Synapse0x9fdf680();
- input += Synapse0x9fdf6a8();
- input += Synapse0x9fdf6d0();
- input += Synapse0x9fdf6f8();
+ Double_t input = 0.617042;
+ input += Synapse0x93bcf68();
+ input += Synapse0x93bcf90();
+ input += Synapse0x93bcfb8();
+ input += Synapse0x93bcfe0();
+ input += Synapse0x93bd008();
return input;
}
-Double_t AliCaloNeuralFit::Neuron0x9fdf460() const
+Double_t AliCaloNeuralFit::Neuron0x93bcd70() const
{
//
// Hidden/Output neuron
// Return computed activation
//
- Double_t input = Input0x9fdf460();
+ Double_t input = Input0x93bcd70();
return (tanh(input) * 1)+0;
}
-Double_t AliCaloNeuralFit::Input0x9fdf720() 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 = 0.525561;
- input += Synapse0x9fdf918();
- input += Synapse0x9fdf940();
- input += Synapse0x9fdf9f0();
- input += Synapse0x9fdfa18();
- input += Synapse0x9fdfa40();
+ Double_t input = -0.519529;
+ input += Synapse0x93bd228();
+ input += Synapse0x93bd250();
+ input += Synapse0x93bd300();
+ input += Synapse0x93bd328();
+ input += Synapse0x93bd350();
return input;
}
-Double_t AliCaloNeuralFit::Neuron0x9fdf720() const
+Double_t AliCaloNeuralFit::Neuron0x93bd030() const
{
//
// Hidden/Output neuron
// Return computed activation
//
- Double_t input = Input0x9fdf720();
+ Double_t input = Input0x93bd030();
return (tanh(input) * 1)+0;
}
-Double_t AliCaloNeuralFit::Input0x9fdfa68() 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 = -0.360225;
- input += Synapse0x9fdfc18();
- input += Synapse0x9fdfc40();
- input += Synapse0x9fdfc68();
- input += Synapse0x9fdfc90();
- input += Synapse0x9fdfcb8();
+ Double_t input = -0.405186;
+ input += Synapse0x93bd528();
+ input += Synapse0x93bd550();
+ input += Synapse0x93bd578();
+ input += Synapse0x93bd5a0();
+ input += Synapse0x93bd5c8();
return input;
}
-Double_t AliCaloNeuralFit::Neuron0x9fdfa68() const
+Double_t AliCaloNeuralFit::Neuron0x93bd378() const
{
//
// Hidden/Output neuron
// Return computed activation
//
- Double_t input = Input0x9fdfa68();
+ Double_t input = Input0x93bd378();
return (tanh(input) * 1)+0;
}
-Double_t AliCaloNeuralFit::Input0x9fdfce0() 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 = -0.485774;
- input += Synapse0x9fdfed8();
- input += Synapse0x9fdff00();
- input += Synapse0x9fdff28();
- input += Synapse0x9fdff50();
- input += Synapse0x9fdff78();
+ Double_t input = -0.253465;
+ input += Synapse0x93bd7e8();
+ input += Synapse0x93bd810();
+ input += Synapse0x93bd838();
+ input += Synapse0x93bd860();
+ input += Synapse0x93bd888();
return input;
}
-Double_t AliCaloNeuralFit::Neuron0x9fdfce0() const
+Double_t AliCaloNeuralFit::Neuron0x93bd5f0() const
{
//
// Hidden/Output neuron
// Return computed activation
//
- Double_t input = Input0x9fdfce0();
+ Double_t input = Input0x93bd5f0();
return (tanh(input) * 1)+0;
}
-Double_t AliCaloNeuralFit::Input0x9fdffa0() 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 = 0.467242;
- input += Synapse0x9fe0198();
- input += Synapse0x9fe01c0();
- input += Synapse0x9fe01e8();
- input += Synapse0x9fdf968();
- input += Synapse0x9fdf990();
+ Double_t input = 0.0340672;
+ input += Synapse0x93bdaa8();
+ input += Synapse0x93bdad0();
+ input += Synapse0x93bdaf8();
+ input += Synapse0x8ce7098();
+ input += Synapse0x8ce70c0();
return input;
}
-Double_t AliCaloNeuralFit::Neuron0x9fdffa0() const
+Double_t AliCaloNeuralFit::Neuron0x93bd8b0() const
{
//
// Hidden/Output neuron
// Return computed activation
//
- Double_t input = Input0x9fdffa0();
+ Double_t input = Input0x93bd8b0();
return (tanh(input) * 1)+0;
}
-Double_t AliCaloNeuralFit::Input0x9fe0318() 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 = 0.566875;
- input += Synapse0x9fe04f0();
- input += Synapse0x9fe0518();
- input += Synapse0x9fe0540();
- input += Synapse0x9fe0568();
- input += Synapse0x9fe0590();
+ Double_t input = 0.231599;
+ input += Synapse0x93bde20();
+ input += Synapse0x93bde48();
+ input += Synapse0x93bde70();
+ input += Synapse0x93bde98();
+ input += Synapse0x93bdec0();
return input;
}
-Double_t AliCaloNeuralFit::Neuron0x9fe0318() const
+Double_t AliCaloNeuralFit::Neuron0x93bdc28() const
{
//
// Hidden/Output neuron
// Return computed activation
//
- Double_t input = Input0x9fe0318();
+ Double_t input = Input0x93bdc28();
return (tanh(input) * 1)+0;
}
-Double_t AliCaloNeuralFit::Input0x9fe05b8() 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 = -0.848776;
- input += Synapse0x9fe07b0();
- input += Synapse0x9fe07d8();
- input += Synapse0x9fe0800();
- input += Synapse0x9fe0828();
- input += Synapse0x9fe0850();
+ Double_t input = 0.56831;
+ input += Synapse0x93be0e0();
+ input += Synapse0x93be108();
+ input += Synapse0x93be130();
+ input += Synapse0x93be158();
+ input += Synapse0x93be180();
return input;
}
-Double_t AliCaloNeuralFit::Neuron0x9fe05b8() const
+Double_t AliCaloNeuralFit::Neuron0x93bdee8() const
{
//
// Hidden/Output neuron
// Return computed activation
//
- Double_t input = Input0x9fe05b8();
+ Double_t input = Input0x93bdee8();
return (tanh(input) * 1)+0;
}
-Double_t AliCaloNeuralFit::Input0x9fe0878() 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 = -0.408427;
- input += Synapse0x9fe0a70();
- input += Synapse0x9fe0a98();
- input += Synapse0x9fe0ac0();
- input += Synapse0x9fe0ae8();
- input += Synapse0x9fe0b10();
+ Double_t input = 0.223889;
+ input += Synapse0x93be3a0();
+ input += Synapse0x93be3c8();
+ input += Synapse0x93be3f0();
+ input += Synapse0x93be418();
+ input += Synapse0x93be440();
return input;
}
-Double_t AliCaloNeuralFit::Neuron0x9fe0878() const
+Double_t AliCaloNeuralFit::Neuron0x93be1a8() const
{
//
// Hidden/Output neuron
// Return computed activation
//
- Double_t input = Input0x9fe0878();
+ Double_t input = Input0x93be1a8();
return (tanh(input) * 1)+0;
}
-Double_t AliCaloNeuralFit::Input0x9fdedf8() 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 = -0.310322;
- input += Synapse0x9fe0c10();
- input += Synapse0x9fe0c38();
- input += Synapse0x9fe0c60();
- input += Synapse0x9fe0c88();
- input += Synapse0x9fe0cb0();
- input += Synapse0x9fe0cd8();
- input += Synapse0x9fe0d00();
- input += Synapse0x9fe0d28();
- input += Synapse0x9fe0d50();
- input += Synapse0x9fe0d78();
+ 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::Neuron0x9fdedf8() const
+Double_t AliCaloNeuralFit::Neuron0x93bc708() const
{
//
// Hidden/Output neuron
// Return computed activation
//
- Double_t input = Input0x9fdedf8();
+ Double_t input = Input0x93bc708();
return (input * 1)+0;
}
-Double_t AliCaloNeuralFit::Input0x9fe0da0() 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 = -0.0574773;
- input += Synapse0x9fe0fa0();
- input += Synapse0x9fe0fc8();
- input += Synapse0x9fe0ff0();
- input += Synapse0x9fe1018();
- input += Synapse0x9fe1040();
- input += Synapse0x9882b78();
- input += Synapse0x9fd0158();
- input += Synapse0x9fd0180();
- input += Synapse0x9fd01a8();
- input += Synapse0x9fd01d0();
+ 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::Neuron0x9fe0da0() const
+Double_t AliCaloNeuralFit::Neuron0x93be5d0() const
{
//
// Hidden/Output neuron
// Return computed activation
//
- Double_t input = Input0x9fe0da0();
+ Double_t input = Input0x93be5d0();
return (input * 1)+0;
}
-Double_t AliCaloNeuralFit::Synapse0x9fdf0d8() const
+Double_t AliCaloNeuralFit::Synapse0x93bc9e8() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fd0208()*1.53012);
+ return (Neuron0x8ceb770()*-0.173079);
}
-Double_t AliCaloNeuralFit::Synapse0x9fdf100() const
+Double_t AliCaloNeuralFit::Synapse0x93bca10() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fd0398()*-0.316606);
+ return (Neuron0x8ceb900()*-0.356515);
}
-Double_t AliCaloNeuralFit::Synapse0x9fdf128() const
+Double_t AliCaloNeuralFit::Synapse0x93bca38() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fd0570()*1.31047);
+ return (Neuron0x8cebad8()*0.116333);
}
-Double_t AliCaloNeuralFit::Synapse0x9fdf150() const
+Double_t AliCaloNeuralFit::Synapse0x93bca60() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fd0748()*0.31846);
+ return (Neuron0x8cebcb0()*-0.0647334);
}
-Double_t AliCaloNeuralFit::Synapse0x9fdf178() const
+Double_t AliCaloNeuralFit::Synapse0x93bca88() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fdec20()*-1.43145);
+ return (Neuron0x93bc518()*0.135181);
}
-Double_t AliCaloNeuralFit::Synapse0x9fdf398() const
+Double_t AliCaloNeuralFit::Synapse0x93bcca8() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fd0208()*-0.199402);
+ return (Neuron0x8ceb770()*-0.00703734);
}
-Double_t AliCaloNeuralFit::Synapse0x9fdf3c0() const
+Double_t AliCaloNeuralFit::Synapse0x93bccd0() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fd0398()*0.0250046);
+ return (Neuron0x8ceb900()*1.04245);
}
-Double_t AliCaloNeuralFit::Synapse0x9fdf3e8() const
+Double_t AliCaloNeuralFit::Synapse0x93bccf8() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fd0570()*0.21622);
+ return (Neuron0x8cebad8()*0.70812);
}
-Double_t AliCaloNeuralFit::Synapse0x9fdf410() const
+Double_t AliCaloNeuralFit::Synapse0x93bcd20() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fd0748()*0.0240984);
+ return (Neuron0x8cebcb0()*-0.486738);
}
-Double_t AliCaloNeuralFit::Synapse0x9fdf438() const
+Double_t AliCaloNeuralFit::Synapse0x93bcd48() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fdec20()*0.492242);
+ return (Neuron0x93bc518()*-0.623982);
}
-Double_t AliCaloNeuralFit::Synapse0x9fdf658() const
+Double_t AliCaloNeuralFit::Synapse0x93bcf68() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fd0208()*-2.9778);
+ return (Neuron0x8ceb770()*0.0557636);
}
-Double_t AliCaloNeuralFit::Synapse0x9fdf680() const
+Double_t AliCaloNeuralFit::Synapse0x93bcf90() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fd0398()*-0.598961);
+ return (Neuron0x8ceb900()*0.503374);
}
-Double_t AliCaloNeuralFit::Synapse0x9fdf6a8() const
+Double_t AliCaloNeuralFit::Synapse0x93bcfb8() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fd0570()*-0.857305);
+ return (Neuron0x8cebad8()*-0.0500216);
}
-Double_t AliCaloNeuralFit::Synapse0x9fdf6d0() const
+Double_t AliCaloNeuralFit::Synapse0x93bcfe0() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fd0748()*0.58472);
+ return (Neuron0x8cebcb0()*0.0561266);
}
-Double_t AliCaloNeuralFit::Synapse0x9fdf6f8() const
+Double_t AliCaloNeuralFit::Synapse0x93bd008() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fdec20()*1.87975);
+ return (Neuron0x93bc518()*-0.403885);
}
-Double_t AliCaloNeuralFit::Synapse0x9fdf918() const
+Double_t AliCaloNeuralFit::Synapse0x93bd228() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fd0208()*0.334053);
+ return (Neuron0x8ceb770()*-0.0649038);
}
-Double_t AliCaloNeuralFit::Synapse0x9fdf940() const
+Double_t AliCaloNeuralFit::Synapse0x93bd250() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fd0398()*0.142395);
+ return (Neuron0x8ceb900()*-0.164437);
}
-Double_t AliCaloNeuralFit::Synapse0x9fdf9f0() const
+Double_t AliCaloNeuralFit::Synapse0x93bd300() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fd0570()*0.293019);
+ return (Neuron0x8cebad8()*-0.657412);
}
-Double_t AliCaloNeuralFit::Synapse0x9fdfa18() const
+Double_t AliCaloNeuralFit::Synapse0x93bd328() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fd0748()*-0.109163);
+ return (Neuron0x8cebcb0()*0.175571);
}
-Double_t AliCaloNeuralFit::Synapse0x9fdfa40() const
+Double_t AliCaloNeuralFit::Synapse0x93bd350() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fdec20()*0.482151);
+ return (Neuron0x93bc518()*0.588896);
}
-Double_t AliCaloNeuralFit::Synapse0x9fdfc18() const
+Double_t AliCaloNeuralFit::Synapse0x93bd528() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fd0208()*-0.270303);
+ return (Neuron0x8ceb770()*-0.00361627);
}
-Double_t AliCaloNeuralFit::Synapse0x9fdfc40() const
+Double_t AliCaloNeuralFit::Synapse0x93bd550() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fd0398()*-0.212234);
+ return (Neuron0x8ceb900()*0.398821);
}
-Double_t AliCaloNeuralFit::Synapse0x9fdfc68() const
+Double_t AliCaloNeuralFit::Synapse0x93bd578() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fd0570()*-0.136993);
+ return (Neuron0x8cebad8()*0.38779);
}
-Double_t AliCaloNeuralFit::Synapse0x9fdfc90() const
+Double_t AliCaloNeuralFit::Synapse0x93bd5a0() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fd0748()*-0.322175);
+ return (Neuron0x8cebcb0()*0.341009);
}
-Double_t AliCaloNeuralFit::Synapse0x9fdfcb8() const
+Double_t AliCaloNeuralFit::Synapse0x93bd5c8() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fdec20()*-0.137984);
+ return (Neuron0x93bc518()*0.290214);
}
-Double_t AliCaloNeuralFit::Synapse0x9fdfed8() const
+Double_t AliCaloNeuralFit::Synapse0x93bd7e8() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fd0208()*0.00656827);
+ return (Neuron0x8ceb770()*-0.238609);
}
-Double_t AliCaloNeuralFit::Synapse0x9fdff00() const
+Double_t AliCaloNeuralFit::Synapse0x93bd810() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fd0398()*-0.0405237);
+ return (Neuron0x8ceb900()*-0.193207);
}
-Double_t AliCaloNeuralFit::Synapse0x9fdff28() const
+Double_t AliCaloNeuralFit::Synapse0x93bd838() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fd0570()*-0.437988);
+ return (Neuron0x8cebad8()*0.304672);
}
-Double_t AliCaloNeuralFit::Synapse0x9fdff50() const
+Double_t AliCaloNeuralFit::Synapse0x93bd860() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fd0748()*-0.343747);
+ return (Neuron0x8cebcb0()*-0.327625);
}
-Double_t AliCaloNeuralFit::Synapse0x9fdff78() const
+Double_t AliCaloNeuralFit::Synapse0x93bd888() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fdec20()*-0.168597);
+ return (Neuron0x93bc518()*-0.268996);
}
-Double_t AliCaloNeuralFit::Synapse0x9fe0198() const
+Double_t AliCaloNeuralFit::Synapse0x93bdaa8() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fd0208()*-0.47585);
+ return (Neuron0x8ceb770()*0.725989);
}
-Double_t AliCaloNeuralFit::Synapse0x9fe01c0() const
+Double_t AliCaloNeuralFit::Synapse0x93bdad0() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fd0398()*1.7023);
+ return (Neuron0x8ceb900()*-0.217538);
}
-Double_t AliCaloNeuralFit::Synapse0x9fe01e8() const
+Double_t AliCaloNeuralFit::Synapse0x93bdaf8() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fd0570()*0.193432);
+ return (Neuron0x8cebad8()*-0.603975);
}
-Double_t AliCaloNeuralFit::Synapse0x9fdf968() const
+Double_t AliCaloNeuralFit::Synapse0x8ce7098() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fd0748()*0.139333);
+ return (Neuron0x8cebcb0()*0.175658);
}
-Double_t AliCaloNeuralFit::Synapse0x9fdf990() const
+Double_t AliCaloNeuralFit::Synapse0x8ce70c0() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fdec20()*-0.400241);
+ return (Neuron0x93bc518()*-0.262399);
}
-Double_t AliCaloNeuralFit::Synapse0x9fe04f0() const
+Double_t AliCaloNeuralFit::Synapse0x93bde20() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fd0208()*0.757465);
+ return (Neuron0x8ceb770()*-1.08242);
}
-Double_t AliCaloNeuralFit::Synapse0x9fe0518() const
+Double_t AliCaloNeuralFit::Synapse0x93bde48() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fd0398()*0.070475);
+ return (Neuron0x8ceb900()*0.41456);
}
-Double_t AliCaloNeuralFit::Synapse0x9fe0540() const
+Double_t AliCaloNeuralFit::Synapse0x93bde70() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fd0570()*0.412929);
+ return (Neuron0x8cebad8()*0.117809);
}
-Double_t AliCaloNeuralFit::Synapse0x9fe0568() const
+Double_t AliCaloNeuralFit::Synapse0x93bde98() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fd0748()*-0.161017);
+ return (Neuron0x8cebcb0()*0.514938);
}
-Double_t AliCaloNeuralFit::Synapse0x9fe0590() const
+Double_t AliCaloNeuralFit::Synapse0x93bdec0() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fdec20()*-0.168403);
+ return (Neuron0x93bc518()*-0.193678);
}
-Double_t AliCaloNeuralFit::Synapse0x9fe07b0() const
+Double_t AliCaloNeuralFit::Synapse0x93be0e0() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fd0208()*0.490089);
+ return (Neuron0x8ceb770()*0.580561);
}
-Double_t AliCaloNeuralFit::Synapse0x9fe07d8() const
+Double_t AliCaloNeuralFit::Synapse0x93be108() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fd0398()*-0.193417);
+ return (Neuron0x8ceb900()*0.610453);
}
-Double_t AliCaloNeuralFit::Synapse0x9fe0800() const
+Double_t AliCaloNeuralFit::Synapse0x93be130() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fd0570()*-0.345063);
+ return (Neuron0x8cebad8()*0.4977);
}
-Double_t AliCaloNeuralFit::Synapse0x9fe0828() const
+Double_t AliCaloNeuralFit::Synapse0x93be158() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fd0748()*-0.507424);
+ return (Neuron0x8cebcb0()*-0.328315);
}
-Double_t AliCaloNeuralFit::Synapse0x9fe0850() const
+Double_t AliCaloNeuralFit::Synapse0x93be180() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fdec20()*-0.790068);
+ return (Neuron0x93bc518()*-0.729094);
}
-Double_t AliCaloNeuralFit::Synapse0x9fe0a70() const
+Double_t AliCaloNeuralFit::Synapse0x93be3a0() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fd0208()*1.717);
+ return (Neuron0x8ceb770()*0.172817);
}
-Double_t AliCaloNeuralFit::Synapse0x9fe0a98() const
+Double_t AliCaloNeuralFit::Synapse0x93be3c8() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fd0398()*3.29133);
+ return (Neuron0x8ceb900()*0.288833);
}
-Double_t AliCaloNeuralFit::Synapse0x9fe0ac0() const
+Double_t AliCaloNeuralFit::Synapse0x93be3f0() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fd0570()*-0.60354);
+ return (Neuron0x8cebad8()*0.0242409);
}
-Double_t AliCaloNeuralFit::Synapse0x9fe0ae8() const
+Double_t AliCaloNeuralFit::Synapse0x93be418() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fd0748()*-0.553822);
+ return (Neuron0x8cebcb0()*0.273568);
}
-Double_t AliCaloNeuralFit::Synapse0x9fe0b10() const
+Double_t AliCaloNeuralFit::Synapse0x93be440() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fdec20()*-0.292983);
+ return (Neuron0x93bc518()*0.261816);
}
-Double_t AliCaloNeuralFit::Synapse0x9fe0c10() const
+Double_t AliCaloNeuralFit::Synapse0x93bd2c0() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fdef28()*0.0177982);
+ return (Neuron0x93bc838()*-0.332154);
}
-Double_t AliCaloNeuralFit::Synapse0x9fe0c38() const
+Double_t AliCaloNeuralFit::Synapse0x93be468() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fdf1a0()*0.088043);
+ return (Neuron0x93bcab0()*0.175458);
}
-Double_t AliCaloNeuralFit::Synapse0x9fe0c60() const
+Double_t AliCaloNeuralFit::Synapse0x93be490() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fdf460()*0.0698223);
+ return (Neuron0x93bcd70()*0.211775);
}
-Double_t AliCaloNeuralFit::Synapse0x9fe0c88() const
+Double_t AliCaloNeuralFit::Synapse0x93be4b8() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fdf720()*0.609632);
+ return (Neuron0x93bd030()*0.335443);
}
-Double_t AliCaloNeuralFit::Synapse0x9fe0cb0() const
+Double_t AliCaloNeuralFit::Synapse0x93be4e0() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fdfa68()*-0.825672);
+ return (Neuron0x93bd378()*0.341079);
}
-Double_t AliCaloNeuralFit::Synapse0x9fe0cd8() const
+Double_t AliCaloNeuralFit::Synapse0x93be508() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fdfce0()*-0.109339);
+ return (Neuron0x93bd5f0()*-0.324381);
}
-Double_t AliCaloNeuralFit::Synapse0x9fe0d00() const
+Double_t AliCaloNeuralFit::Synapse0x93be530() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fdffa0()*-0.498954);
+ return (Neuron0x93bd8b0()*0.135666);
}
-Double_t AliCaloNeuralFit::Synapse0x9fe0d28() const
+Double_t AliCaloNeuralFit::Synapse0x93be558() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fe0318()*0.346775);
+ return (Neuron0x93bdc28()*-0.0213577);
}
-Double_t AliCaloNeuralFit::Synapse0x9fe0d50() const
+Double_t AliCaloNeuralFit::Synapse0x93be580() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fe05b8()*-0.284703);
+ return (Neuron0x93bdee8()*-0.598335);
}
-Double_t AliCaloNeuralFit::Synapse0x9fe0d78() const
+Double_t AliCaloNeuralFit::Synapse0x93be5a8() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fe0878()*0.0176923);
+ return (Neuron0x93be1a8()*0.636813);
}
-Double_t AliCaloNeuralFit::Synapse0x9fe0fa0() const
+Double_t AliCaloNeuralFit::Synapse0x93be7d0() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fdef28()*-1.65881);
+ return (Neuron0x93bc838()*0.173357);
}
-Double_t AliCaloNeuralFit::Synapse0x9fe0fc8() const
+Double_t AliCaloNeuralFit::Synapse0x93be7f8() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fdf1a0()*0.0393971);
+ return (Neuron0x93bcab0()*-0.971616);
}
-Double_t AliCaloNeuralFit::Synapse0x9fe0ff0() const
+Double_t AliCaloNeuralFit::Synapse0x93be820() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fdf460()*1.71678);
+ return (Neuron0x93bcd70()*-0.38099);
}
-Double_t AliCaloNeuralFit::Synapse0x9fe1018() const
+Double_t AliCaloNeuralFit::Synapse0x93be848() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fdf720()*0.408921);
+ return (Neuron0x93bd030()*0.351755);
}
-Double_t AliCaloNeuralFit::Synapse0x9fe1040() const
+Double_t AliCaloNeuralFit::Synapse0x93be870() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fdfa68()*-0.508733);
+ return (Neuron0x93bd378()*0.106307);
}
-Double_t AliCaloNeuralFit::Synapse0x9882b78() const
+Double_t AliCaloNeuralFit::Synapse0x934a7c8() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fdfce0()*-0.48213);
+ return (Neuron0x93bd5f0()*0.118656);
}
-Double_t AliCaloNeuralFit::Synapse0x9fd0158() const
+Double_t AliCaloNeuralFit::Synapse0x93605e0() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fdffa0()*-1.36281);
+ return (Neuron0x93bd8b0()*-0.447119);
}
-Double_t AliCaloNeuralFit::Synapse0x9fd0180() const
+Double_t AliCaloNeuralFit::Synapse0x9360608() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fe0318()*0.102217);
+ return (Neuron0x93bdc28()*0.677259);
}
-Double_t AliCaloNeuralFit::Synapse0x9fd01a8() const
+Double_t AliCaloNeuralFit::Synapse0x8ce6fe8() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fe05b8()*-0.684593);
+ return (Neuron0x93bdee8()*-0.246138);
}
-Double_t AliCaloNeuralFit::Synapse0x9fd01d0() const
+Double_t AliCaloNeuralFit::Synapse0x8ce7010() const
{
//
// Synaptic connection
// Multiplies input times synaptic weight
//
- return (Neuron0x9fe0878()*1.99419);
+ return (Neuron0x93be1a8()*-0.117442);
}
git://git.uio.no / u / mrichter / AliRoot.git / blobdiff