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new weights interface and addaption + mall tweaks

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Shin
2016-02-18 16:36:16 +01:00
parent 19253e975f
commit ec82018ef9
10 changed files with 101 additions and 99 deletions
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5
include/NeuralNetwork/Recurrent/Network.h
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@@ -24,7 +24,7 @@ namespace Recurrent {
* @param _outputSize is size of output from network
* @param hiddenUnits is number of hiddenUnits to be created
*/
inline Network(size_t _inputSize, size_t _outputSize,size_t hiddenUnits=0):NeuralNetwork::Network(),inputSize(_inputSize),outputSize(_outputSize), neurons(0) {
inline Network(size_t _inputSize, size_t _outputSize,size_t hiddenUnits=0):NeuralNetwork::Network(),inputSize(_inputSize),outputSize(_outputSize), neurons(0),outputs(0) {
neurons.push_back(new NeuralNetwork::BiasNeuron());
for(size_t i=0;i<_inputSize;i++) {
@@ -78,7 +78,7 @@ namespace Recurrent {
neurons.push_back(new Neuron(neurons.size()));
NeuronInterface *newNeuron=neurons.back();
for(std::size_t i=0;i<neurons.size();i++) {
neurons[i]->setWeight(*newNeuron,0.0);
neurons[i]->setInputSize(newNeuron->id()+1);
}
return *newNeuron;
}
@@ -95,6 +95,7 @@ namespace Recurrent {
size_t outputSize=0;
std::vector<NeuronInterface*> neurons;
std::vector<float> outputs;
};
}
}