public NN()
{
InitializeComponent();
funcDictionary = new Dictionary <int, Func <double, double> >
{
{ 1, (x) => x },
{ 2, (x) => x * x },
{ 3, (x) => x > 0 ? 1 : 0 }
};
var linear = GetData <LinearLayerModel>(@"D:\Projects\NeuralNetwork-master\NN.Interpolation\source1.json");
var layers1 = LayerModelToBaseLayer.MapLinear(linear, funcDictionary);
_neuralNetwork = new NeuralNetworkImplementation(layers1, 1);
VisualiseNN();
}
private void NNTrain_Click(object sender, EventArgs e)
{
var linear = GetData <LinearLayerModel>(@"D:\Projects\NeuralNetwork-master\NN.Interpolation\source1.json");
var layers1 = LayerModelToBaseLayer.MapLinear(linear, funcDictionary);
_neuralNetwork = new NeuralNetworkImplementation(layers1, 1);
List <double> inputs = new List <double>();
List <double> outputs = new List <double>();
for (double i = 0; i < 1; i += 0.01)
{
inputs.Add(i);
outputs.Add(_function(i));
}
_neuralNetwork.Train(inputs, outputs);
VisualiseNN();
}
static void Main(string[] args)
{
int inputsCount = 1;
var dict = new Dictionary <int, Func <double, double> >
{
{ 1, (x) => x },
{ 2, (x) => x * x },
{ 3, (x) => x > 0 ? 1 : 0 }
};
var linear = GetData <LinearLayerModel>(@"D:\Projects\NeuralNetwork-master\NN.Interpolation\source1.json");
var layers1 = LayerModelToBaseLayer.MapLinear(linear, dict);
var neuralNetwork = new Implementation.NeuralNetworkImplementation(layers1, inputsCount);
var input = new List <double>();
var output = new List <double>();
for (double i = 0; i < 20; i += 1)
{
input.Add(i);
output.Add(Func(i));
}
neuralNetwork.Train(input, output);
for (double i = 0; i < 30; i += 1)
{
var result = neuralNetwork.Run(i);
var exact = Func(i);
System.Console.WriteLine($"i={i} :==={result} //// {exact} //// {Math.Abs(result - exact)}");
}
System.Console.WriteLine(Func(1));
System.Console.ReadKey();
}
