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Cascade-Correlation ...

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Shin
2016-05-13 20:18:19 +02:00
parent a40b6fad88
commit 9e2ce222fb
2 changed files with 44 additions and 15 deletions
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14
src/NeuralNetwork/ConstructiveAlgorithms/CascadeCorrelation.cpp
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@@ -38,6 +38,8 @@ float CascadeCorrelation::trainOutputs(Cascade::Network &network, const std::vec
}
}
error/=patterns.size();
if(fabs(lastError - error) < _minimalErrorStep) {
iterWithoutImporvement++;
} else {
@@ -124,6 +126,8 @@ float CascadeCorrelation::trainOutputsRandom(std::size_t step, Cascade::Network
}
}
error/=patterns.size();
if(fabs(lastError - error) < _minimalErrorStep) {
iterWithoutImporvement++;
} else {
@@ -237,7 +241,7 @@ std::pair <std::shared_ptr<NeuralNetwork::Neuron>, std::vector<float>> CascadeCo
do {
lastCorrelation = bestCorrelation;
/*cascor_cand_epoch*/
/*compute correlations */
for(std::size_t patternIndex = 0; patternIndex < patterns.size(); patternIndex++) {
for(auto &candidateStruct : candidatesRegister) {
auto candidate = candidateStruct.candidate;
@@ -262,11 +266,11 @@ std::pair <std::shared_ptr<NeuralNetwork::Neuron>, std::vector<float>> CascadeCo
}
}
/*adjust ci_weights*/
/*Update Weights*/
for(auto &candidateStruct : candidatesRegister) {
auto candidate = candidateStruct.candidate;
for(std::size_t i = 0; i < candidateStruct.slopes.size(); i++) {
candidate->weight(i) += candidateStruct.slopes[i] * 2;
candidate->weight(i) += candidateStruct.slopes[i];
candidateStruct.slopes[i] = 0.0;
}
}
@@ -301,5 +305,9 @@ std::pair <std::shared_ptr<NeuralNetwork::Neuron>, std::vector<float>> CascadeCo
while(iterations++ < _maxCandidateIterations && iterationsWithoutIprovement < _maxCandidateIterationsWithoutChange);
std::cout << "iter: " << iterations << ", correlation: " << bestCorrelation << ", " << lastCorrelation << "\n";
for(auto&a: bestCorrelations) {
a*=-1.0;
}
return {bestCandidate, bestCorrelations};
}