Network optimisation using references instead of regular arguments has been made

Author: C-Coretex

NeuralNetwork.sln

@@ -10,9 +10,9 @@ Project("{2150E333-8FDC-42A3-9474-1A3956D46DE8}") = "Solution Items", "Solution
 		.editorconfig = .editorconfig
 	EndProjectSection
 EndProject
-Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "NeuralNetworkExample_FishersIris", "NeuralNetworkExample\NeuralNetworkExample_FishersIris.csproj", "{772B7312-F432-4378-B7BD-726219761D1A}"
+Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "NeuralNetworkExample_FishersIris", "NeuralNetworkExample_FishersIris\NeuralNetworkExample_FishersIris.csproj", "{6BB57525-8D05-4A27-ACBF-107781291040}"
 EndProject
-Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "NeuralNetworkExample_ImageRecognition", "NeuralNetworkExample2\NeuralNetworkExample_ImageRecognition.csproj", "{B3CA65D2-FE1C-4494-8C24-AFFB1408E6E2}"
+Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "NeuralNetworkExample_ImageRecognition", "NeuralNetworkExample_ImageRecognition\NeuralNetworkExample_ImageRecognition.csproj", "{B3CA65D2-FE1C-4494-8C24-AFFB1408E6E2}"
 EndProject
 Global
 	GlobalSection(SolutionConfigurationPlatforms) = preSolution
@@ -24,10 +24,10 @@ Global
 		{F6FC81C0-24B0-4E9E-BA25-A595DB36AD7C}.Debug|Any CPU.Build.0 = Debug|Any CPU
 		{F6FC81C0-24B0-4E9E-BA25-A595DB36AD7C}.Release|Any CPU.ActiveCfg = Release|Any CPU
 		{F6FC81C0-24B0-4E9E-BA25-A595DB36AD7C}.Release|Any CPU.Build.0 = Release|Any CPU
-		{772B7312-F432-4378-B7BD-726219761D1A}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
-		{772B7312-F432-4378-B7BD-726219761D1A}.Debug|Any CPU.Build.0 = Debug|Any CPU
-		{772B7312-F432-4378-B7BD-726219761D1A}.Release|Any CPU.ActiveCfg = Release|Any CPU
-		{772B7312-F432-4378-B7BD-726219761D1A}.Release|Any CPU.Build.0 = Release|Any CPU
+		{6BB57525-8D05-4A27-ACBF-107781291040}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
+		{6BB57525-8D05-4A27-ACBF-107781291040}.Debug|Any CPU.Build.0 = Debug|Any CPU
+		{6BB57525-8D05-4A27-ACBF-107781291040}.Release|Any CPU.ActiveCfg = Release|Any CPU
+		{6BB57525-8D05-4A27-ACBF-107781291040}.Release|Any CPU.Build.0 = Release|Any CPU
 		{B3CA65D2-FE1C-4494-8C24-AFFB1408E6E2}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
 		{B3CA65D2-FE1C-4494-8C24-AFFB1408E6E2}.Debug|Any CPU.Build.0 = Debug|Any CPU
 		{B3CA65D2-FE1C-4494-8C24-AFFB1408E6E2}.Release|Any CPU.ActiveCfg = Release|Any CPU

NeuralNetwork/NeuralNetwork.cs

@@ -181,11 +181,11 @@ public void SaveNetwork(string pathAndName)
 
         #region NeuralNetwork Run
         /// <summary>
-        /// Runs the network and returns Output neurons with the struct Neuron[].
+        /// Runs the network and returns reference to Output neurons with the struct Neuron[].
         /// </summary>
         /// <param name="inputValues">This is array that contains input set.</param>
-        /// <returns>Neuron[]</returns>
-        public virtual Neuron[] RunNetwork(double[] inputValues)
+        /// <returns>Neuron[] reference</returns>
+        public virtual ref Neuron[] RunNetwork(double[] inputValues)
         {
             //INPUT neurons assignment
             for (j = 0; j < inputValues.Length; ++j)
@@ -205,7 +205,7 @@ public virtual Neuron[] RunNetwork(double[] inputValues)
                 }
             }
 
-            return Network[Network.GetLength(0) - 1];
+            return ref Network[Network.GetLength(0) - 1];
         }
 
         //===========================================================================================================
@@ -229,7 +229,7 @@ public virtual void TeachNetwork(double[] ideal)
             //Calculating Delta(HIDDEN) for HIDDEN neurons the NeuralNetwork 
             for (i = LayersCount - 2; i >= 1; --i) //Start - from the last HIDDEN layer | End - to the firs HIDDEN layer
                 for (j = 0; j < Network[i].Length; ++j)
-                    deltaNetwork[i][j].value = DeltaHidden(Network[i][j].weights, deltaNetwork[i + 1], Network[i][j].value);
+                    deltaNetwork[i][j].value = DeltaHidden(Network[i][j].weights, ref deltaNetwork[i + 1], Network[i][j].value);
 
             //Calculating delta of all the weights to change them
             for (i = LayersCount - 2; i >= 0; --i) //        Start - from the last HIDDEN layer | End - to the firs layer (INPUT)
@@ -263,7 +263,7 @@ private double DeltaOut(double outIdeal, double outActual)
         {
             return ((outIdeal - outActual) * SigmoidError(outActual));
         }
-        private double DeltaHidden(double[] weights, Neuron[] delta, double output)
+        private double DeltaHidden(double[] weights, ref Neuron[] delta, double output)
         {
             double actualSum = 0;