public static WeightedValue CreateWeightedValue(IList <IValue> values)
{
double[] weights = new double[values.Count];
for (int k = 0; k < weights.Length; k++)
{
weights[k] = (random.NextDouble() * 2) - 1;
}
WeightedValue value = new WeightedValue(values, weights);
return(value);
}
public NeuronLayeredNetwork(IList <int> arities)
{
this.layers = new IList <IValue> [arities.Count];
this.layers[0] = new List <IValue>();
for (int k = 0; k < arities[0]; k++)
{
this.layers[0].Add(new RealValue());
}
for (int k = 1; k < arities.Count; k++)
{
this.layers[k] = new List <IValue>();
for (int j = 0; j < arities[k]; j++)
{
this.layers[k].Add(new Neuron(WeightedValue.CreateWeightedValue(this.layers[k - 1])));
}
}
}
public WeightedValue CreateWeightedValue()
{
IList <IValue> values = new List <IValue>(this.neurons);
return(WeightedValue.CreateWeightedValue(values));
}
