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Neural Dot Net Pt 3 The Adaline Network

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23 Oct 200316 min read 73.2K   379   41  
A neural network library in C#.
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			<H2><U><FONT size="7">Neural .Net pt 11</FONT></U></H2>
		</CENTER>
		<H2 align="center"><U><FONT size="7">First Release Conclusion Of Sorts</FONT></U></H2>
		<P align="left">&nbsp;</P>
		<P align="left">As I write this I have two articles in the latest best picks 
			section and the two latest articles in the Neural Dot Net Series have been put 
			up in latest releases section, so I'm feeling quite pleased with myself, almost 
			smug even. The feed back has been generally positive for once and all is well 
			in the world of publishing stuff at least.
		</P>
		<P align="left">The project has mostly gone quite well. I set out to learn how to 
			do neural network programming myself and as a part of my learning process to 
			explain it in a manner that would be of use to other people which I feel I 
			haven't done too badly at and I decided at the start that the program should be 
			usable as learning tool which meant that the results had to be repeatable, with 
			the option of the person using the software&nbsp;to be able to change the most 
			important parameters for each network to see what it would do. This I 
			think&nbsp;has been done.
		</P>
		<P align="left">Of course as with everything there were setbacks along the way 
			and&nbsp;I still haven't managed to get the bidirectional associative memory 
			code to behave in the way that I would like it to.
		</P>
		<P align="left">It became apparent early on in the release cycle that the fact that 
			I was releasing the project compiled with the 2003 version of Developer Studio 
			was&nbsp;proving to be something of a draw back and&nbsp;for this reason this 
			additional article has been added. I've reinstalled Developer Studio .Net and 
			put together a&nbsp;version that runs.</P>
		<P align="left">As I've stated earlier there should be no problem with the library 
			on either version of the compiler&nbsp;and that assumption was right. The 
			problems have occurred with the Logviewer and with the icons. The icons problem 
			has been easily fixed but the LogViewer has been removed from the application 
			all together. I was getting problems with the&nbsp;Internet Explorer control on 
			the older compiler and as I've rewritten the Logviewer at least three times 
			since I started&nbsp;work on this project I just couldn't face rewriting again 
			at this moment in time. Besides I've already started the next different but 
			related project.
		</P>
		<P align="left">Links for the&nbsp;Developer&nbsp;Studio .Net version will be 
			clearly added to the other articles in the series so if you down load&nbsp;and 
			play around with it good luck with it.&nbsp;&nbsp;</P>
		<P align="left">Finally just because this is called a first release it doesn't 
			necassarily follow that there will be a second release although that 
			bidirectional associative memory code is giving me an itch I can't quite 
			scratch.</P>
		<H2 align="center"><U>References</U></H2>
		<P>
		Tom Archer ( 2001 ) Inside C#, Microsoft Press
		<P>
		Jeffery Richter (&nbsp; 2002 ) Applied Microsoft .NET Framework Programming, 
		Microsoft Press
		<P>
		Charles Peltzold ( 2002 ) Programming Microsoft Windows With C#, Microsoft 
		Press
		<P>
		Robinson et al ( 2001 ) Professional C#, Wrox
		<P>
		William R. Staneck ( 1997 ) Web Publishing Unleashed Professional Reference 
		Edition, Sams.net
		<P>
		Robert Callan, The Essence Of Neural Networks ( 1999 ) Prentice Hall
		<P>
		Timothy Masters, Practical Neural Network Recipes In C++ ( 1993 ) Morgan 
		Kaufmann ( Academic Press )
		<P>
		Melanie Mitchell, An Introduction To Genetic Algorithms ( 1999 ) MIT Press
		<P>
		Joey Rogers, Object-Orientated Neural Networks in C++ ( 1997 ) Academic 
		Press&nbsp;
		<P>
		Simon Haykin Neural Networks A Comprehensive Foundation ( 1999 ) Prentice Hall
		<P>
		Bernd Oestereich ( 2002 ) Developing Software With UML Object-Orientated 
		Analysis And Design In Practice Addison Wesley
		<P>
		R Beale &amp; T Jackson ( 1990 ) Neural Computing An Introduction, Institute Of 
		Physics Publishing
		<P>
			<H2 align="center"><U>Thanks</U></H2>
		<P>Special thanks go to anyone involved in TortoiseCVS for version control&nbsp; <A href="http://www.tortoisecvs.org/" target="_top">
				http://www.tortoisecvs.org/<PRE></PRE>
				<P align="left">
			</A>&nbsp;
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		<P>All UML diagrams were generated using Metamill version 2.2 <A href="http://www.metamill.com" target="_top">
				http://www.metamill.com</A>
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