private static List <INeuron> CreateLayer(int layerSize, List <IInput> inputs)
{
var layerBias = new BiasInput(1.0d);
var layer = new List <INeuron>();
for (var i = 0; i < layerSize; i++)
{
var neuron = new Neuron.Neuron(Activation);
neuron.RegisterInput(layerBias);
inputs.ForEach(neuron.RegisterInput);
layer.Add(neuron);
}
return(layer);
}
public Sinaps(Neuron neuron)
{
fromNeuron = neuron;
value = ((float)rand.Next(interval.X, interval.Y)) / multiplier;
// value = 0.2f;
}
private static List<INeuron> CreateLayer(int layerSize, List<IInput> inputs)
{
var layerBias = new BiasInput(1.0d);
var layer = new List<INeuron>();
for (var i = 0; i < layerSize; i++)
{
var neuron = new Neuron.Neuron(Activation);
neuron.RegisterInput(layerBias);
inputs.ForEach(neuron.RegisterInput);
layer.Add(neuron);
}
return layer;
}
static void Main(string[] args)
{
string x;
bool fired = false;
Console.WriteLine("Dendritů:");
int input = Convert.ToInt32(Console.ReadLine());
Console.WriteLine("Hodnota pro výstřel:");
int input2 = Convert.ToInt32(Console.ReadLine());
Neuron n = new Neuron(input, input2);
do
{
foreach (Dendrit d in n.dendrits)
{
if (!fired)
{
if (n.dendrits.Sum(pkg => pkg._v) >= n.maxV)
{
SpaceWrite("Vystřeleno");
fired = true;
}
else
{
Console.WriteLine("Vstup:");
int value = Convert.ToInt32(Console.ReadLine());
if (value > 1)
{
value = 1;
}
d._v = value * d.w;
if (value > 0)
{
d.w++;
d.Increase = true;
}
}
}
}
int sum = n.dendrits.Sum(pkg => pkg._v);
SpaceWrite("Suma = " + sum + " Hodnota výstřelu = " + n.maxV);
foreach (Dendrit d in n.dendrits)
{
if (d.Increase)
{
Console.WriteLine("Hodnota dendritu: " + d._v + " váha: " + (d.w - 1) + "+1");
d.Increase = false;
}
else
{
Console.WriteLine("Hodnota dendritu: " + d._v + " váha: " + (d.w - 1));
}
d._v = 0;
}
if (sum >= n.maxV)
{
SpaceWrite("Vystřeleno");
Debug.WriteLine(sum + " / " + n.maxV);
fired = true;
}
else if (!fired)
{
Debug.WriteLine(sum + " / " + n.maxV);
SpaceWrite("Opakovat ? (a/n)");
}
x = Console.ReadLine();
} while (x != "n");
}
public Sinaps(NeuronInput input, Neuron neuron)
{
fromNeuron = neuron;
frominput = input;
value = ((float)rand.Next(interval.X, interval.Y)) / multiplier;
}
