ANN

Esiur.Analysis/Neural/NeuralLayer.cs

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+using Esiur.Analysis.Algebra;
+using Microsoft.CodeAnalysis;
+using System;
+using System.Collections.Generic;
+using System.Text;
+
+namespace Esiur.Analysis.Neural
+{
+    internal class NeuralLayer
+    {
+
+
+        public Neuron[] Neurons { get; internal set; }
+
+        public MathFunction<RealFunction> Activation { get; internal set; }
+
+        public NeuralLayer? PreviousLayer { get; internal set; }
+        public double Bias { get; set; }
+
+        public NeuralLayer(int nodes, MathFunction<RealFunction> activation, NeuralLayer? previousLayer)
+        {
+
+            PreviousLayer = previousLayer;
+            Neurons = new Neuron[nodes];
+            Activation = activation;
+
+            for(var i = 0; i < nodes; i++)
+            {
+                var synapses = new List<Synapse>();
+
+                var neuron = new Neuron()
+                {
+                    Layer = this,
+                };
+
+
+                if (previousLayer != null)
+                {
+                    for(var j = 0; j < previousLayer.Neurons.Length; j++)
+                    {
+                        synapses.Add(new Synapse() { Source = previousLayer.Neurons[j] , Target = neuron, Weight = 0});
+                    }
+                }
+
+                Neurons[i] = neuron;   
+            }
+
+        }
+    }
+}