/// <summary>
/// Конструктор с параметром обучения нейросети
/// </summary>
public NeuralNetwork(int TrainigCoof)
{
First = new InputLayer(6);
Second = new HiddenLayer(5);
Third = new HiddenLayer(4);
Forth = new HiddenLayer(2);
Fifth = new OutputLayer(4);
SFirst = new SynapseLayer(6, 5);
SSecond = new SynapseLayer(5, 4);
SThird = new SynapseLayer(4, 2);
SFourth = new SynapseLayer(2, 4);
this.TrainigCoof = TrainigCoof;
}
///<sumarry>
///Конструктор для наследования нейросети
///</sumarry>
public NeuralNetwork(NeuralNetwork BaseNet)
{
First = new InputLayer(6);
Second = new HiddenLayer(5);
Third = new HiddenLayer(4);
Forth = new HiddenLayer(2);
Fifth = new OutputLayer(4);
TrainigCoof = BaseNet.TRAING_COOF;
SFirst = new SynapseLayer(BaseNet.S_FIRST, BaseNet.TRAING_COOF);
SSecond = new SynapseLayer(BaseNet.S_CECOND, BaseNet.TRAING_COOF);
SThird = new SynapseLayer(BaseNet.S_THIRD, BaseNet.TRAING_COOF);
SFourth = new SynapseLayer(BaseNet.S_FORTH, BaseNet.TRAING_COOF);
}
///<summary>
/// Конструктор для наследования
/// </summary>
public NeuralNetwork(int TrainigCoof, double [,] SFirst, double [,] SSecond, double[,] SThird, double[,] SFourth)
{
First = new InputLayer(6);
Second = new HiddenLayer(5);
Third = new HiddenLayer(4);
Forth = new HiddenLayer(2);
Fifth = new OutputLayer(4);
this.SFirst = new SynapseLayer(SFirst, TrainigCoof);
this.SSecond = new SynapseLayer(SSecond, TrainigCoof);
this.SThird = new SynapseLayer(SThird, TrainigCoof);
this.SFourth = new SynapseLayer(SFourth, TrainigCoof);
this.TrainigCoof = TrainigCoof;
}
