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Backpropagation Artificial Neural Network in C++

, 20 May 2008
This article demonstrates a backpropagation artificial neural network console application with validation and test sets for performance estimation using uneven distribution metrics.
ann_demo.zip
bin
ann1Dn.exe
dat
red.dat
red.hea
iris.nn
setosa_versi.dat
virgi.dat
void
ann_src.zip
src
Lib
LibNN
========================================================================
    CONSOLE APPLICATION : ann1Dn Project Overview
========================================================================

AppWizard has created this ann1Dn application for you.  
This file contains a summary of what you will find in each of the files that
make up your ann1Dn application.


ann1Dn.vcproj
    This is the main project file for VC++ projects generated using an Application Wizard. 
    It contains information about the version of Visual C++ that generated the file, and 
    information about the platforms, configurations, and project features selected with the
    Application Wizard.

ann1Dn.cpp
    This is the main application source file.

/////////////////////////////////////////////////////////////////////////////
Other standard files:

StdAfx.h, StdAfx.cpp
    These files are used to build a precompiled header (PCH) file
    named ann1Dn.pch and a precompiled types file named StdAfx.obj.

/////////////////////////////////////////////////////////////////////////////
Other notes:

AppWizard uses "TODO:" comments to indicate parts of the source code you
should add to or customize.

/////////////////////////////////////////////////////////////////////////////

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License

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

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About the Author

Chesnokov Yuriy
Engineer
Russian Federation Russian Federation
No Biography provided

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