public static NeuralEnvironment Perceptron(int inputs,
int outputs,
IEnumerable <int> hiddenLayers)
{
var environment = new NeuralEnvironment();
const ActivationFunctions func = ActivationFunctions.Sigmoid;
var actFun = NetworkManager.GetActivationFunc(func);
//input
var prev = new List <Neuron>();
var cur = new List <Neuron>();
for (var i = 0; i < inputs; i++)
{
var i1 = i;
var neuron = new Neuron((ActivationFunctions)(-1), NeuronTag.input);
prev.Add(neuron);
environment.AddNeuron(neuron, new List <Neuron>());
}
//hidden
foreach (var layerSize in hiddenLayers)
{
for (var i = 0; i < layerSize; i++)
{
var neuron = new Neuron(ActivationFunctions.Sigmoid);
cur.Add(neuron);
environment.AddNeuron(neuron, prev);
}
prev = cur;
cur = new List <Neuron>();
}
//output
for (var i = 0; i < outputs; i++)
{
//var neuron = new SimpleNeuron((ActivationFunctions) (-1));
var neuron = new Neuron(ActivationFunctions.Sigmoid, NeuronTag.output);
environment.AddNeuron(neuron, prev);
}
return(environment);
}
public NeuralEnvironment Clone()
{
var newEnvironment = new NeuralEnvironment();
//var neuronCopies = new Dictionary<INeuron, INeuron>();
foreach (var neuron in Neurons)
{
newEnvironment
.AddNeuron(
new Neuron(
neuron.ActFunc,
neuron.Tag,
new Dictionary <string, double>(neuron.Inputs)),
new List <Neuron>());
}
/*foreach (var neuron in Neurons)
* foreach (var (input, weight) in neuron.Inputs)
* newEnvironment.Connect(neuronCopies[neuron], neuronCopies[NeuronsIds[input]], weight);*/
return(newEnvironment);
}
