public void Adjust(IProposedNeuron prop, float learningRate)
{
Bias *= prop.AvgBiasProposal * learningRate;
for (var weight = 0; weight < Weights.Length; weight++)
{
Weights[weight] *= prop.AvgWeightProposal[weight] * learningRate;
}
}
private void GenerateNetwork()
{
//create neurons
var output = new FiringNeuron[Options.LayerStructure.Length, Options.MaxLayerDensity];
for (var layer = 1; layer < Options.LayerStructure.Length; layer++)
{
for (var neuron = 0; neuron < Options.LayerStructure[layer]; neuron++)
{
output[layer, neuron] =
new FiringNeuron(new Coordinate(layer, neuron), Options.LayerStructure[layer - 1], new SigmoidActivationFunction());
}
}
NeuronLayers = output;
_proposedNeurons = new IProposedNeuron[Options.LayerStructure.Length, Options.MaxLayerDensity];
}
