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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.
Imports System.Reflection
Imports System.Runtime.InteropServices

''' General Information about an assembly is controlled through the following 
''' set of attributes. Change these attribute values to modify the information
''' associated with an assembly.

''' Review the values of the assembly attributes

<Assembly: AssemblyTitle("")> 
<Assembly: AssemblyDescription("")> 
<Assembly: AssemblyCompany("")> 
<Assembly: AssemblyProduct("")> 
<Assembly: AssemblyCopyright("")> 
<Assembly: AssemblyTrademark("")> 
<Assembly: CLSCompliant(True)> 

'''The following GUID is for the ID of the typelib if this project is exposed to COM
<Assembly: Guid("DB7B1176-D29A-4C59-8ADD-8B3960BEBCD5")> 

''' Version information for an assembly consists of the following four values:
'''
'''      Major Version
'''      Minor Version 
'''      Build Number
'''      Revision
'''
''' You can specify all the values or you can default the Build and Revision Numbers 
''' by using the '''*''' as shown below:

<Assembly: AssemblyVersion("1.0.*")> 

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