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A

ActivationFunction - Interface in interfaces
Interface ActivationFunction obriga as classes que a implementem a definir dois métodos: ActivationFunction.calculate(double) e ActivationFunction.derivate(double).
activationfunctions - package activationfunctions
 
addLayer(int, Layer) - Method in class kernel.NeuralNetwork
Adiciona camada em um indice especifico
addLayer(Layer) - Method in class kernel.NeuralNetwork
Adicionar camada
addNeuron(int, Neuron) - Method in class kernel.Layer
Adicionar neurônio na posição específica
addNeuron(Neuron) - Method in class kernel.Layer
Adicionar neurônio
addOutputConnection(Neuron) - Method in class kernel.Neuron
Adiciona conexão de entrada de determinado neurônio
addValue(double) - Method in class kernel.Neuron
Define a entrada do neuronio, realizando a somatoria
And - Class in network.and
 
And() - Constructor for class network.and.And
 
ANDInputSamples - Class in network.and
 
ANDInputSamples(ArrayList<ArrayList<Double>>) - Constructor for class network.and.ANDInputSamples
Instância para os dados porta lógica AND
ANDOutput - Class in network.and
 
ANDOutput() - Constructor for class network.and.ANDOutput
Instância vazia
attachInput(Input) - Method in class kernel.NeuralNetwork
Recebe a camada de entrada
attachOutput(Output) - Method in class kernel.NeuralNetwork
Recebe a camada de saída
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