// Called on the nueral network to initalize mutation to its weights
public void mutate(double rate)
{
Globals.mutationRate = rate;
weights_ho.map(mutateFunc);
weights_ih.map(mutateFunc);
bias_h.map(mutateFunc);
bias_o.map(mutateFunc);
}
public double[] predict(double[] input_array)
{
matrix inputs = matrix.fromArray(input_array);
matrix hidden = matrix.multiply(this.weights_ih, inputs);
hidden.add(bias_h);
hidden.map(Globals.activation_function.sig.func1);
// Generating outputs
matrix output = matrix.multiply(this.weights_ho, hidden);
output.add(this.bias_o);
output.map(Globals.activation_function.sig.func1);
return(output.toArray());
}
// This function is never used in this car project
public double[] feedForward(double[] input_array)
{
// Generating the hidden outputs
matrix inputs = matrix.fromArray(input_array);
matrix hidden = matrix.multiply(this.weights_ih, inputs);
hidden.add(this.bias_h);
// Activation fucntion!
hidden.map(sigmoid);
// Generating the output's output
matrix output = matrix.multiply(this.weights_ho, hidden);
output.add(this.bias_o);
output.map(sigmoid);
// Send back to the caller
return(output.toArray());
}