static void B()
{
FullMesh <bool> mesh = new FullMesh <bool>(
inputCounts: 2,
neuroCounts: new int[] { 10, 10, 1 },
errorFunction: (a, b) => (a != b) ? 1 : 0,
activationFunction: b => b,
adderFunction: (a, b) => a || b,
weightingFunction: (a, b) => a || b,
defaultWeight: false
);
Func <bool, bool, bool>[] funcs = new Func <bool, bool, bool>[]
{
(a, b) => !(a && b),
(a, b) => !(!a && b),
(a, b) => !(a && !b),
(a, b) => !(!a && !b),
(a, b) => a && b,
(a, b) => !a && b,
(a, b) => a && !b,
(a, b) => !a && !b,
(a, b) => !(a || b),
(a, b) => !(!a || b),
(a, b) => !(a || !b),
(a, b) => !(!a || !b),
(a, b) => a || b,
(a, b) => !a || b,
(a, b) => a || !b,
(a, b) => !a || !b,
};
mesh.Neurons.ForEach(n => n.ForEach(nn => nn.WeightingFunction = funcs[GlobalRandom.Get.Next(0, funcs.Length)]));
bool[][] input = new bool[][]
{
new[] { false, false },
new[] { false, true },
new[] { true, false },
new[] { true, true },
};
bool[][] output = new bool[][]
{
new[] { true },
new[] { true },
new[] { false },
new[] { true },
};
mesh.LearnIteration(new BruteForce <bool>(b => b, () => funcs[GlobalRandom.Get.Next(0, funcs.Length)])
{
PrintProgress = true
}, input, output, 0.01);
Array.ForEach(input, d => Console.WriteLine(Format(d) + " : " + Format(mesh.Calc(d))));
Console.ReadKey();
}
static void A()
{
FullMesh <double> mesh = new FullMesh <double>(
inputCounts: 2,
neuroCounts: new int[] { 10, 1 },
errorFunction: (a, b) => Math.Abs(a - b),
activationFunction: TangensHyperbolicus,
adderFunction: (a, b) => a + b,
weightingFunction: (a, b) => a * b,
defaultWeight: 0.5
);
Func <double, double, double>[] funcs = new Func <double, double, double>[]
{
(a, b) => a + b,
(a, b) => a - b,
(a, b) => a * b,
(a, b) => a % b,
};
double[][] input = new double[][]
{
new[] { 0.0, 0.0 },
new[] { 0.0, 1.0 },
new[] { 1.0, 0.0 },
new[] { 1.0, 1.0 },
};
double[][] output = new double[][]
{
new[] { 1.0 },
new[] { 1.0 },
new[] { 0.0 },
new[] { 1.0 },
};
//for (int i = 0; i < 20; i++)
// mesh.LearnIteration(new DeepRandom<double>(250, d => d + GlobalRandom.Get.NextDouble() * 0.4 - 0.2) { PrintProgress = true }, input, output, -0.0001);
//for (int i = 0; i < 10000 && mesh.LastError > 0.00001; i++)
// mesh.LearnIteration(new Evolution<double>(d => d + GlobalRandom.Get.NextDouble() * 0.4 - 0.2), input, output, -0.00001);
mesh.LearnIteration(new BruteForce <double>(d => d + GlobalRandom.Get.NextDouble() * 0.4 - 0.2, () => funcs[GlobalRandom.Get.Next(0, funcs.Length)])
{
PrintProgress = true
}, input, output, 0.01);
Array.ForEach(input, d => Console.WriteLine(Format(d) + " : " + Format(mesh.Calc(d))));
while (true)
{
Console.WriteLine(Format(mesh.Calc(Console.ReadLine().Split(' ').Select(s => double.Parse(s)).ToArray())));
}
}