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