public OneLayerNeuralNet(OneLayerNeuralNet pattern)
{
this.wages = new float[pattern.wages.GetLength(0), pattern.wages.GetLength(1)];
Array.Copy(pattern.wages, this.wages, pattern.wages.GetLength(0) * pattern.wages.GetLength(1));
this.biasesInOutputLayer = new float[pattern.biasesInOutputLayer.Length];
Array.Copy(pattern.biasesInOutputLayer, this.biasesInOutputLayer, pattern.biasesInOutputLayer.Length);
}
public INeuralNet Crossover(INeuralNet other)
{
if (other is OneLayerNeuralNet == false)
{
throw new ApplicationException("'other' should be of type COneLayerNeuralNet to be able to crossover with COneLayerNeuralNet.");
}
var child = new OneLayerNeuralNet(this.wages.GetLength(0), this.wages.GetLength(1));
child.wages = CrossoverHelper.Crossover(this.wages, (other as OneLayerNeuralNet).wages);
child.biasesInOutputLayer = CrossoverHelper.Crossover(this.biasesInOutputLayer, (other as OneLayerNeuralNet).biasesInOutputLayer);
return(child);
}
