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MultilayerPerceptron:: (16 methods):
__construct()
train()
partialTrain()
setLearningRate()
getOutput()
getLearningRate()
getBackpropagation()
reset()
initNetwork()
addInputLayer()
addNeuronLayers()
generateSynapses()
addBiasNodes()
generateLayerSynapses()
generateNeuronSynapses()
trainSamples()
Class: MultilayerPerceptron - X-Ref
__construct(int $inputLayerFeatures,array $hiddenLayers,array $classes,int $iterations = 10000,?ActivationFunction $activationFunction = null,float $learningRate = 1.) X-Ref |
train(array $samples, array $targets) X-Ref |
No description |
partialTrain(array $samples, array $targets, array $classes = []) X-Ref |
setLearningRate(float $learningRate) X-Ref |
No description |
getOutput() X-Ref |
No description |
getLearningRate() X-Ref |
No description |
getBackpropagation() X-Ref |
No description |
reset() X-Ref |
return: mixed |
initNetwork() X-Ref |
No description |
addInputLayer(int $nodes) X-Ref |
No description |
addNeuronLayers(array $layers, ?ActivationFunction $defaultActivationFunction = null) X-Ref |
No description |
generateSynapses() X-Ref |
No description |
addBiasNodes() X-Ref |
No description |
generateLayerSynapses(Layer $nextLayer, Layer $currentLayer) X-Ref |
No description |
generateNeuronSynapses(Layer $currentLayer, Neuron $nextNeuron) X-Ref |
No description |
trainSamples(array $samples, array $targets) X-Ref |
No description |