using System;

using System.Collections.Generic;

using System.Text;

namespace Bigtree.Algorithm.NeuralNetwork

{

public class Neuron

{

/// <summary>

/// Input values

/// </summary>

public List<Dendrite> InputDendrites { get; set; }

/// <summary>

/// Output pulse

/// </summary>

public double Output { get; set; }

public double Delta { get; set; }

public Neuron()

{

InputDendrites = new List<Dendrite>();

}

public void Fire(NeuralLayer preLayer)

{

Output = Sum(preLayer);

Output = ActivationFunction.Sigmoid(Output);

// Console.WriteLine($"Activation: {Output}");

// Console.WriteLine();

}

public void UpdateWeights(double new_weights)

{

foreach (var terminal in InputDendrites)

{

terminal.Weight = new_weights;

}

}

private double Sum(NeuralLayer preLayer)

{

double computeValue = 0.0f;

for(int i = 0; i < preLayer.Neurons.Count; i++)

{

var neuron = preLayer.Neurons[i];

var dendrite = InputDendrites[i];

computeValue += neuron.Output * dendrite.Weight;

// Console.WriteLine($"{neuron.Output} * {neuron.InputDendrites[0].Weight} = {neuron.Output * neuron.InputDendrites[0].Weight}");

}

// Console.WriteLine($"Sum = {computeValue}");

return computeValue;

}

}

}