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Neural Network for Recognition of Handwritten Digits in C#

, 14 Mar 2012
This article is an example of an artificial neural network designed to recognize handwritten digits.
Handwritten_Character_Recognition.zip
Handwritten Character Recognition
AForgeLibrary.dll
Data
Default-ini.ini
hand written characters.bmp
nn23-12-2010.nnt
number 3.bmp
numbers 1.bmp
The quick brown fox (Tahoma).bmp
Thumbs.db
HandwrittenRecognition.exe-bak
NeuralNetworkLibrary.dll
NNHandwrittenCharRecCsDemo.zip
Handwritten character recognition demo
Data
CNN news.bmp
Codeproject.bmp
Default-ini.ini
nn23-12-2010.nnt
numbers 1.bmp
numbers 2.bmp
numbers.bmp
Objects.bmp
The quick brown fox (Tahoma).bmp
HandwrittenRecogniration.exe-bak
NeuralNetworkLibrary.dll
NNHandwrittenCharRecCsSource.zip
HandwrittenRecognition
HandwrittenRecognition
bin
Debug
Release
NeuralNetwork
obj
Debug
Release
x86
Debug
Properties
Settings.settings
Resources
NeuralNetworkLibrary
Activation Functions
ArchiveSerialization
bin
Debug
Release
DataFiles
NeuralNetwork
NNConnections
NNLayers
NNNeurons
NNWeights
obj
Debug
Release
Properties
Service References
using System;
using System.Collections.Generic;
using ArchiveSerialization;
namespace NeuralNetworkLibrary
{
    public class NNNeuronList : List<NNNeuron>, IArchiveSerialization 
    {
        public NNNeuronList()
        { 
        
        }
        public NNNeuronList(int capacity)
            : base(capacity)
        {
            
        }
        public NNNeuronList(IEnumerable<NNNeuron> collection)
            : base(collection)
        {
            
        }
        public void Serialize(Archive ar)
        {

        }
    }
}

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License

This article, along with any associated source code and files, is licensed under The MIT License

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About the Author

Vietdungiitb
Vietnam Maritime University
Vietnam Vietnam
No Biography provided

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