public SinglelayerPerceptron(PerceptronParameters parameters,
Activation activation,
int lengthOfInput, int lengthOfOutput)
{
CheckInitializationParameters(parameters, activation, lengthOfInput, lengthOfOutput);
Activation = activation;
InitVectors(lengthOfInput, lengthOfOutput);
InitMatrixes(lengthOfInput, lengthOfOutput);
}
public MultilayerPerceptron(PerceptronParameters parameters,
Activation activation,
params int[] lengthsOfEachLayer)
{
CheckInitializationParameters(parameters, activation, lengthsOfEachLayer);
InitializeNeurons(lengthsOfEachLayer);
InitializeWeigthsAndDefference(lengthsOfEachLayer);
Parameters = parameters;
Activation = activation;
}
protected void CheckInitializationParameters(PerceptronParameters parameters,
Activation activation,
params int[] lengthsOfEachLayer)
{
CheckConditionOnException(parameters is null, "Neural network parameters is null");
CheckConditionOnException(activation is null, "Activation function is null");
CheckConditionOnException(lengthsOfEachLayer.Length < 2, "The number of elements of lengths of vectors of neurons should be more than 1");
for (var i = 0; i < lengthsOfEachLayer.Length; i++)
{
CheckConditionOnException(lengthsOfEachLayer[i] < 1, $"The number of neurons in layer {i} must be greater than 0");
}
}
