List <double> Train(double x, double y, double r)
{
return(ann.Go(new List <double> {
x, y
}, new List <double> {
r
}));
}
List <double> Train(double i1, double i2, double o)
{
List <double> inputs = new List <double>();
List <double> outputs = new List <double>();
inputs.Add(i1);
inputs.Add(i2);
outputs.Add(o);
return(ann.Go(inputs, outputs));
}
private List <double> Train(int i1, int i2, int o)
{
List <double> inputs = new List <double>();
List <double> outputs = new List <double>();
inputs.Add(i1);
inputs.Add(i2);
outputs.Add(o);
return(model.Go(inputs, outputs));
}
/// <summary>
/// Set parameters for training
/// </summary>
/// <param name="input1"></param>
/// <param name="input2"></param>
/// <param name="output"></param>
/// <returns></returns>
List <double> Train(double input1, double input2, double output) //can change it for more inputs and outputs.
//for example how to onload data from DB here and work with it and after that save it
{
List <double> inputs = new List <double>();
List <double> outputs = new List <double>();
inputs.Add(input1);
inputs.Add(input2);
outputs.Add(output);
return(ann.Go(inputs, outputs));
}
// Use this for initialization
void Start()
{
List <double> result = new List <double>();
ann = new ANN(2, 1, 1, 2, 0.8f);
for (int i = 0; i < 10000; i++)
{
sumSquareError = 0;
result = ann.Go(new List <double> {
0, 0
}, new List <double> {
0
});
sumSquareError += Mathf.Pow((float)result[0] - 0, 2);
result = ann.Go(new List <double> {
0, 1
}, new List <double> {
1
});
sumSquareError += Mathf.Pow((float)result[0] - 1, 2);
result = ann.Go(new List <double> {
1, 0
}, new List <double> {
1
});
sumSquareError += Mathf.Pow((float)result[0] - 1, 2);
result = ann.Go(new List <double> {
1, 1
}, new List <double> {
0
});
sumSquareError += Mathf.Pow((float)result[0] - 0, 2);
}
Debug.Log("SSE: " + sumSquareError);
}
private List <double> Run(double bx, double by, double bvx, double bvy, double px, double py, double pv, bool train)
{
List <double> inputs = new List <double>();
List <double> outputs = new List <double>();
inputs.Add(bx);
inputs.Add(by);
inputs.Add(bvx);
inputs.Add(bvy);
inputs.Add(px);
inputs.Add(py);
outputs.Add(pv);
if (train)
{
return(ann.Train(inputs, outputs));
}
else
{
return(ann.Go(inputs, outputs));
}
}
