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[programming challenge, SSN] * minor fixes, hack for scaling

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This commit is contained in:
mateuszb 2012-05-31 20:32:57 +00:00
parent f3475303e8
commit a900fe71c8
1 changed files with 7 additions and 7 deletions
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14
Odpalarka/main.cpp
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@ -626,7 +626,7 @@ FANN::training_data * SSN::getTrainingData( const std::vector<Example> &input )
const auto & ci = input[i];
inputs[i] = genSSNinput(ci.dp.sides[0], ci.art, ci.dp.bfieldType, ci.dp.terType);
outputs[i] = new double;
*(outputs[i]) = ci.value;
*(outputs[i]) = ci.value/4;
}
ret->set_train_data(input.size(), num_input, inputs, 1, outputs);
@ -635,7 +635,7 @@ FANN::training_data * SSN::getTrainingData( const std::vector<Example> &input )
void SSNRun()
{
//buildLearningSet();
//Framework::buildLearningSet();
double percentToTrain = 0.8;
auto trainingSet = Framework::loadExamples(false);
@ -661,12 +661,12 @@ void SSNRun()
FANN::activation_function_enum possibleFuns[] = {FANN::SIGMOID_SYMMETRIC_STEPWISE, FANN::LINEAR,
FANN::SIGMOID, FANN::SIGMOID_STEPWISE, FANN::SIGMOID_SYMMETRIC};
// bestParams.actSteepHidden = 1.18;
// bestParams.actSteepnessOutput = 1.26;
// bestParams.hiddenActFun = FANN::SIGMOID_STEPWISE;
//
// bestParams.actSteepHidden = 0.346;
// bestParams.actSteepnessOutput = 0.449;
// bestParams.hiddenActFun = FANN::SIGMOID_SYMMETRIC;
// bestParams.outActFun = FANN::SIGMOID_SYMMETRIC;
// bestParams.neuronsInHidden = 47;
// bestParams.neuronsInHidden = 23;
for(int i=0; i<5000; i += 1)
{