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Hopfield model of neural network for pattern recognition

, 6 Nov 2006
The article describes the Hopfield model of neural network.
hopfieldneuralnetwork_demo.zip
HopfieldRecognizer
ABC
A.bmp
B.bmp
C.bmp
D.bmp
E.bmp
F.bmp
RandomState.bmp
SomeColorBitmap.bmp
bin
Debug
HopfieldNeuralNetwork.dll
HopfieldRecognizer.exe
HopfieldRecognizer.vshost.exe
ImageMagnifier.dll
obj
Debug
Refactor
TempPE
Properties.Resources.Designer.cs.dll
Properties
Settings.settings
HopfieldNeuralNetwork.dll
ImageMagnifier.dll
build.force
hopfieldneuralnetwork_src.zip
HopfieldNeuralNetwork
bin
Debug
HopfieldNeuralNetwork.dll
Neuron
obj
Debug
Refactor
TempPE
Properties
namespace HopfieldRecognizer
{
    partial class frmMain
    {
        /// <summary>
        /// Required designer variable.
        /// </summary>
        private System.ComponentModel.IContainer components = null;

        /// <summary>
        /// Clean up any resources being used.
        /// </summary>
        /// <param name="disposing">true if managed resources should be disposed; otherwise, false.</param>
        protected override void Dispose(bool disposing)
        {
            if (disposing && (components != null))
            {
                components.Dispose();
            }
            base.Dispose(disposing);
        }

        #region Windows Form Designer generated code

        /// <summary>
        /// Required method for Designer support - do not modify
        /// the contents of this method with the code editor.
        /// </summary>
        private void InitializeComponent()
        {
            System.ComponentModel.ComponentResourceManager resources = new System.ComponentModel.ComponentResourceManager(typeof(frmMain));
            this.butCreateNN = new System.Windows.Forms.Button();
            this.butAddPattern = new System.Windows.Forms.Button();
            this.panelStoredImages = new System.Windows.Forms.Panel();
            this.butRunDynamics = new System.Windows.Forms.Button();
            this.gbNNProperties = new System.Windows.Forms.GroupBox();
            this.label5 = new System.Windows.Forms.Label();
            this.lblNNSize = new System.Windows.Forms.Label();
            this.lblNumberOfPatterns = new System.Windows.Forms.Label();
            this.lblEnergy = new System.Windows.Forms.Label();
            this.lblStaticEnergy = new System.Windows.Forms.Label();
            this.lblStaticSizeOfNN = new System.Windows.Forms.Label();
            this.lblStaticNumberOfPatterns = new System.Windows.Forms.Label();
            this.gbNNCurrentState = new System.Windows.Forms.GroupBox();
            this.imNNState = new ImageMagnifier.ImageMagnifier();
            this.ofd = new System.Windows.Forms.OpenFileDialog();
            this.gbPatternsInNN = new System.Windows.Forms.GroupBox();
            this.gbNNProperties.SuspendLayout();
            this.gbNNCurrentState.SuspendLayout();
            this.gbPatternsInNN.SuspendLayout();
            this.SuspendLayout();
            // 
            // butCreateNN
            // 
            this.butCreateNN.FlatStyle = System.Windows.Forms.FlatStyle.Flat;
            this.butCreateNN.Location = new System.Drawing.Point(12, 12);
            this.butCreateNN.Name = "butCreateNN";
            this.butCreateNN.Size = new System.Drawing.Size(216, 23);
            this.butCreateNN.TabIndex = 1;
            this.butCreateNN.Text = "Create Neural Network (1000 Neurons)";
            this.butCreateNN.UseVisualStyleBackColor = true;
            this.butCreateNN.Click += new System.EventHandler(this.CreateNNBut_Click);
            // 
            // butAddPattern
            // 
            this.butAddPattern.Enabled = false;
            this.butAddPattern.FlatStyle = System.Windows.Forms.FlatStyle.Flat;
            this.butAddPattern.Location = new System.Drawing.Point(12, 41);
            this.butAddPattern.Name = "butAddPattern";
            this.butAddPattern.Size = new System.Drawing.Size(216, 23);
            this.butAddPattern.TabIndex = 1;
            this.butAddPattern.Text = "Add pattern to Neural network";
            this.butAddPattern.UseVisualStyleBackColor = true;
            this.butAddPattern.Click += new System.EventHandler(this.AddPatternBut_Click);
            // 
            // panelStoredImages
            // 
            this.panelStoredImages.AutoScroll = true;
            this.panelStoredImages.Dock = System.Windows.Forms.DockStyle.Fill;
            this.panelStoredImages.Location = new System.Drawing.Point(3, 16);
            this.panelStoredImages.Name = "panelStoredImages";
            this.panelStoredImages.Size = new System.Drawing.Size(105, 470);
            this.panelStoredImages.TabIndex = 0;
            // 
            // butRunDynamics
            // 
            this.butRunDynamics.Enabled = false;
            this.butRunDynamics.FlatStyle = System.Windows.Forms.FlatStyle.Flat;
            this.butRunDynamics.Location = new System.Drawing.Point(12, 70);
            this.butRunDynamics.Name = "butRunDynamics";
            this.butRunDynamics.Size = new System.Drawing.Size(216, 23);
            this.butRunDynamics.TabIndex = 4;
            this.butRunDynamics.Text = "Run network dynamics";
            this.butRunDynamics.UseVisualStyleBackColor = true;
            this.butRunDynamics.Click += new System.EventHandler(this.RunDynamicsBut_Click);
            // 
            // gbNNProperties
            // 
            this.gbNNProperties.Controls.Add(this.label5);
            this.gbNNProperties.Controls.Add(this.lblNNSize);
            this.gbNNProperties.Controls.Add(this.lblNumberOfPatterns);
            this.gbNNProperties.Controls.Add(this.lblEnergy);
            this.gbNNProperties.Controls.Add(this.lblStaticEnergy);
            this.gbNNProperties.Controls.Add(this.lblStaticSizeOfNN);
            this.gbNNProperties.Controls.Add(this.lblStaticNumberOfPatterns);
            this.gbNNProperties.Location = new System.Drawing.Point(2, 99);
            this.gbNNProperties.Name = "gbNNProperties";
            this.gbNNProperties.Size = new System.Drawing.Size(236, 151);
            this.gbNNProperties.TabIndex = 5;
            this.gbNNProperties.TabStop = false;
            this.gbNNProperties.Text = "Properties of Neural Network";
            // 
            // label5
            // 
            this.label5.AutoSize = true;
            this.label5.Location = new System.Drawing.Point(139, 26);
            this.label5.Name = "label5";
            this.label5.Size = new System.Drawing.Size(0, 13);
            this.label5.TabIndex = 2;
            // 
            // lblNNSize
            // 
            this.lblNNSize.AutoSize = true;
            this.lblNNSize.Location = new System.Drawing.Point(135, 26);
            this.lblNNSize.Name = "lblNNSize";
            this.lblNNSize.Size = new System.Drawing.Size(0, 13);
            this.lblNNSize.TabIndex = 2;
            // 
            // lblNumberOfPatterns
            // 
            this.lblNumberOfPatterns.AutoSize = true;
            this.lblNumberOfPatterns.Location = new System.Drawing.Point(139, 48);
            this.lblNumberOfPatterns.Name = "lblNumberOfPatterns";
            this.lblNumberOfPatterns.Size = new System.Drawing.Size(0, 13);
            this.lblNumberOfPatterns.TabIndex = 2;
            // 
            // lblEnergy
            // 
            this.lblEnergy.AutoSize = true;
            this.lblEnergy.Location = new System.Drawing.Point(139, 84);
            this.lblEnergy.Name = "lblEnergy";
            this.lblEnergy.Size = new System.Drawing.Size(0, 13);
            this.lblEnergy.TabIndex = 2;
            // 
            // lblStaticEnergy
            // 
            this.lblStaticEnergy.AutoSize = true;
            this.lblStaticEnergy.Location = new System.Drawing.Point(11, 85);
            this.lblStaticEnergy.Name = "lblStaticEnergy";
            this.lblStaticEnergy.Size = new System.Drawing.Size(121, 13);
            this.lblStaticEnergy.TabIndex = 1;
            this.lblStaticEnergy.Text = "Current value of Energy:";
            // 
            // lblStaticSizeOfNN
            // 
            this.lblStaticSizeOfNN.AutoSize = true;
            this.lblStaticSizeOfNN.Location = new System.Drawing.Point(10, 26);
            this.lblStaticSizeOfNN.Name = "lblStaticSizeOfNN";
            this.lblStaticSizeOfNN.Size = new System.Drawing.Size(119, 13);
            this.lblStaticSizeOfNN.TabIndex = 0;
            this.lblStaticSizeOfNN.Text = "Size of Neural Network:";
            // 
            // lblStaticNumberOfPatterns
            // 
            this.lblStaticNumberOfPatterns.AutoSize = true;
            this.lblStaticNumberOfPatterns.Location = new System.Drawing.Point(10, 48);
            this.lblStaticNumberOfPatterns.Name = "lblStaticNumberOfPatterns";
            this.lblStaticNumberOfPatterns.Size = new System.Drawing.Size(100, 13);
            this.lblStaticNumberOfPatterns.TabIndex = 0;
            this.lblStaticNumberOfPatterns.Text = "Number of patterns:";
            // 
            // gbNNCurrentState
            // 
            this.gbNNCurrentState.Controls.Add(this.imNNState);
            this.gbNNCurrentState.Location = new System.Drawing.Point(2, 256);
            this.gbNNCurrentState.Name = "gbNNCurrentState";
            this.gbNNCurrentState.Size = new System.Drawing.Size(236, 230);
            this.gbNNCurrentState.TabIndex = 5;
            this.gbNNCurrentState.TabStop = false;
            this.gbNNCurrentState.Text = "Current State of NN";
            // 
            // imNNState
            // 
            this.imNNState.ImageToMagnify = ((System.Drawing.Image)(resources.GetObject("imNNState.ImageToMagnify")));
            this.imNNState.Location = new System.Drawing.Point(18, 15);
            this.imNNState.MagnificationCoefficient = 20;
            this.imNNState.Name = "imNNState";
            this.imNNState.Size = new System.Drawing.Size(200, 200);
            this.imNNState.TabIndex = 0;
            this.imNNState.Text = "imNNState";
            this.imNNState.Visible = false;
            // 
            // gbPatternsInNN
            // 
            this.gbPatternsInNN.Controls.Add(this.panelStoredImages);
            this.gbPatternsInNN.Dock = System.Windows.Forms.DockStyle.Right;
            this.gbPatternsInNN.FlatStyle = System.Windows.Forms.FlatStyle.Flat;
            this.gbPatternsInNN.Location = new System.Drawing.Point(244, 0);
            this.gbPatternsInNN.Name = "gbPatternsInNN";
            this.gbPatternsInNN.Size = new System.Drawing.Size(111, 489);
            this.gbPatternsInNN.TabIndex = 0;
            this.gbPatternsInNN.TabStop = false;
            this.gbPatternsInNN.Text = "Patterns in NN";
            // 
            // frmMain
            // 
            this.AutoScaleDimensions = new System.Drawing.SizeF(6F, 13F);
            this.AutoScaleMode = System.Windows.Forms.AutoScaleMode.Font;
            this.ClientSize = new System.Drawing.Size(355, 489);
            this.Controls.Add(this.gbNNCurrentState);
            this.Controls.Add(this.gbNNProperties);
            this.Controls.Add(this.butRunDynamics);
            this.Controls.Add(this.butAddPattern);
            this.Controls.Add(this.butCreateNN);
            this.Controls.Add(this.gbPatternsInNN);
            this.FormBorderStyle = System.Windows.Forms.FormBorderStyle.FixedSingle;
            this.MaximizeBox = false;
            this.Name = "frmMain";
            this.StartPosition = System.Windows.Forms.FormStartPosition.CenterScreen;
            this.Text = "Hopfield neural network usage Example";
            this.Load += new System.EventHandler(this.HopfieldRecognizerMainForm_Load);
            this.gbNNProperties.ResumeLayout(false);
            this.gbNNProperties.PerformLayout();
            this.gbNNCurrentState.ResumeLayout(false);
            this.gbPatternsInNN.ResumeLayout(false);
            this.ResumeLayout(false);

        }

        #endregion

        private System.Windows.Forms.Button butCreateNN;
        private System.Windows.Forms.Button butAddPattern;
        private System.Windows.Forms.Panel panelStoredImages;
        private System.Windows.Forms.Button butRunDynamics;
        private System.Windows.Forms.GroupBox gbNNProperties;
        private System.Windows.Forms.GroupBox gbNNCurrentState;
        private System.Windows.Forms.OpenFileDialog ofd;
        private ImageMagnifier.ImageMagnifier imNNState;
        private System.Windows.Forms.Label lblStaticSizeOfNN;
        private System.Windows.Forms.Label lblStaticNumberOfPatterns;
        private System.Windows.Forms.Label label5;
        private System.Windows.Forms.Label lblNNSize;
        private System.Windows.Forms.Label lblNumberOfPatterns;
        private System.Windows.Forms.Label lblEnergy;
        private System.Windows.Forms.Label lblStaticEnergy;
        private System.Windows.Forms.GroupBox gbPatternsInNN;
    }
}

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License

This article, along with any associated source code and files, is licensed under The GNU General Public License (GPLv3)

About the Author

Bashir Magomedov
Software Developer (Senior)
United Kingdom United Kingdom
Work: HSBC (http://www.hsbc.co.uk/).
Regalia: PhD in CS, MCAD, MCPD: Web Developer, MCTS: .Net Framework 2.0., 3.5.
Interests: Programming, artificial intelligence, C#, .NET, HTML5, ASP.NET, SQL, LINQ.
Marital Status: Married, daughter
Blog: http://www.magomedov.co.uk

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