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Designing And Implementing A Neural Network Library For Handwriting Detection, Image Analysis etc.- The BrainNet Library - Full Code, Simplified Theory, Full Illustration, And Examples

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21 Oct 2009CPOL26 min read 372.5K   7.8K   356  
This article will explain the actual concepts and implementation of Backward Propagation Neural Networks very easily - see project code and samples, like a simple pattern detector, a hand writing detection pad, an xml based neural network processing language etc in the source zip.
'------------------------------------------------------------------
' License Notice:
'------------------------------------------------------------------
' All Rights Reserved - Anoop Madhusudanan, 
' Mail: amazedsaint@gmail.com
' Website: http://amazedsaint.blogspot.com

' See my articles about BrainNet at 
' http://amazedsaint-articles.blogspot.com for details
'
' You can use this code (or part of it), for non 
' commercial and academic uses, as long as 
'   - You are keeping this notice along with it
'   - You are not making any profit out of this
'------------------------------------------------------------------

'''<summary>A collection of Neuron Layers </summary>
Public Class NeuronLayerCollection
    Inherits ArrayList

    Public Shadows Function Add(ByVal obj As NeuronLayer) As NeuronLayer
        MyBase.Add(obj)
        Add = obj
    End Function

    Public Shadows Function Add() As NeuronLayer
        Dim nl As New NeuronLayer()
        MyBase.Add(nl)
        Add = nl
    End Function

    Public Shadows Sub Insert(ByVal index As Integer, ByVal obj As NeuronLayer)
        MyBase.Insert(index, obj)
    End Sub

    Public Shadows Sub Remove(ByVal obj As NeuronLayer)
        MyBase.Remove(obj)
    End Sub

    Default Public Shadows Property Item(ByVal index As Integer) As NeuronLayer
        Get
            Item = DirectCast(MyBase.Item(index), NeuronLayer)
        End Get
        Set(ByVal Value As NeuronLayer)
            MyBase.Item(index) = Value
        End Set
    End Property
End Class

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License

This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)


Written By
Architect
India India
Architect, Developer, Speaker | Wannabe GUT inventor & Data Scientist | Microsoft MVP in C#

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