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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

, 21 Oct 2009
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.
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' License Notice:
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' 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
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'''<summary>The interface for defining the strategy of a neuron </summary>
Public Interface INeuronStrategy


    '''<summary>Function to find the delta or error rate of this INeuron </summary>
    Function FindDelta(ByVal output As Single, ByVal errorFactor As Single) As Single


    '''<summary>Activation Function, or ThreshHold function</summary>
    Function Activation(ByVal value As Single) As Single


    '''<summary>Summation Function for finding the net value</summary>
    Function FindNetValue(ByVal inputs As NeuronConnections, ByVal bias As Single) As Single

    '''<summary>Function for calculating new bias</summary>
    Function FindNewBias(ByVal bias As Single, ByVal delta As Single) As Single

    '''<summary>Function for updating weights</summary>
    Sub UpdateWeights(ByRef connections As NeuronConnections, ByVal delta As Single)

End Interface

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