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Hopfield model of neural network for pattern recognition

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6 Nov 2006GPL35 min read 222.1K   11.8K   103  
The article describes the Hopfield model of neural network.
using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Data;
using System.Drawing;
using System.Text;
using System.Windows.Forms;

namespace HopfieldRecognizer
{
    public partial class frmAddDistortion : Form
    {
        public int DistortionLevel;
        public frmAddDistortion()
        {
            DistortionLevel = 10;
            InitializeComponent();
        }

        private void btnSetDistortionLevel_Click(object sender, EventArgs e)
        {
            this.nudDistortionLevel_ValueChanged(this, new EventArgs());
            this.Close();
        }

        private void nudDistortionLevel_ValueChanged(object sender, EventArgs e)
        {
            DistortionLevel = Convert.ToInt32(nudDistortionLevel.Value);
        }

        private void nudDistortionLevel_KeyPress(object sender, KeyPressEventArgs e)
        {
            if (e.KeyChar == 13) this.btnSetDistortionLevel_Click(this, new EventArgs());
        }
    }
}

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License

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


Written By
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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