Source Code Online Home Categories Top Code New Code Submit Code
Search
Subject Directory
 ASP
 ASP.NET
 C/C++
 CFML
 CGI/PERL
 Delphi
 Flash
 HTML
 Java
 JavaScript
 Pascal
 PHP
 Python
 SQL
 Visual Basic & VB.NET
 XML
New Code
Omnistar Tell-A-Friend Script 1.0
AlphaTrade E-Trax c
NICE PHP FAQ Script 1.0
miOOt Live chat 3.2.0
GS Real Estate Portal 2.0
Paypal Pro php Site Intergration 8.2a
Hab.la 1
HYIP Scripts 1.0
Classifieds Ads 2008
Auction Scripts - AJSI 2008
Mimesis 2.0
Chat247 2
CCS Directory Script 1.0
AvisMap GIS Engine 5.0.1
CCS Classifides 1.0
Top Code
Adirex 3D Chess Client 1.0
JiLMaiL 2.0
P2P .htManager 0.2
XPPubWiz.php
.Net (dotnet) Tips and Tutorials
Arbitrary-shape Popup Box 1.0
encbtn32.zip 1.00.00b
Joomla! 1.5
Libstocks 0.5.0
Webstores 2000 Portal 6.0
activeWatermark 1.0
Dialog Workshop for VCL.NET
HTMLPad 2007 Pro 8.3
XLSReadWriteII.NET 2.00
KGrid 1.1
Details

An introduction to neural networks 

 
by An introduction to neural networks

If you are given numerous codes of different languages and have to write a program to identify the codes of different languages, employing the neural net will be the ideal option to identify the code?s language. This article gives an introduction to neural network. It discusses the basic features of neural nets and approaches to constructing them so you can apply them in your own coding in complex procedures. The best way to understand neural nets is by understanding its use in a puzzle.

License: Freeware

Downloads: 1

Download An introduction to neural networks  Report Error Link
More Similar Code


SprinN, Capital Markets Predictions with Neural Networks.SprinN, the best prediction tool based on Artificial Intelligence techniques (Artificial Neural Networks), gives you accurate open, hold and close recommendations for your investments in the



SprinN, the best prediction tool based on Artificial Intelligence techniques (Artificial Neural Networks), gives you accurate open, hold and close recommendations for your investments in the Capital Markets. SprinN allows you to select the risk of yo



SprinN, the best prediction tool based on Artificial Intelligence techniques (Artificial Neural Networks), gives you accurate open, hold and close recommendations for your investments in Capital Markets. Up to three variables per model......



This is Delphi component that implements Feed forward neural networks with Back propagation training algorithm. This component is free. Source



This is a demo for the TGAsciAI, an Artificial Intelligent component, which is based on back-propagation algorithm, and capable of constructing Artificial Neural Networks with unlimited neurons and layers. Demo shows an AI-way of OCR by learning



This article provides an introduction to WBEM (Web-Based Enterprise Management), which provides a standardized method for accessing managed resources. Managing enterprise networks has been made easy as WBEM simplifies the process of creating manageme



Data miner is a set of components for classification for Borland Delphi and CBuilder written in 100% VCL. The algorithms included cover: KNN and Naive Bayes plus a third completely new algorithm named Linear Classifier. The algorithms can work on rea



Introduction to ASP For Web Developers is an article which gives an introduction to ASP. It has three parts which describes about the introduction of DNA, its application, introduction to ASP with its function, ASP environment then the usage of langu



Would you like to predict the future then try to work with this neural net component. It is quite easy to use, there is methods for creating training and running a net, it has events for getting and returning nodes / result. The zip file include the



Introduction to ASP.Net by Pawan Bangar is a reference guide which gives detailed information regarding ASP.NET. This article discusses the introduction and definition of ASP.NET, advantages over ASP, usage of languages, and some features such as .NE

User Review for An introduction to neural networks 
- required fields
     

Please enter text on the image