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Chapter 1: Introduction to Encog

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published by jeffheaton on Tue, 04/13/2010 - 18:58
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C
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Neural network
artificial intelligence
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Neural Networks

Applying Multithreading to Resilient Propagation and Backpropagation

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published by jeffheaton on Mon, 10/26/2009 - 05:28

This article shows how the Multi Propagation (MPROP) algorithm was implemented for Encog for Java. Though this article focuses on the Java implementation the C# version would be very similar. MPROP is based on resilient propagation, but is designed to work well with multicore computers and gain maximum performance.

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Factor
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Neural network
artificial intelligence
Java
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Intel

Programming Contributions

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published by jeffheaton on Sat, 10/24/2009 - 13:52

Are you a Java or C# programmer? Would you like to contribute some time to the Encog project? We are always looking for volunteers, and at all skill levels. You do need to be proficient with Java or C#, but you by no means need to be an AI expert. We are, of course, glad to have AI experts help! But we usually have tasks available that do not require advanced knowledge of AI.

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Calais Document Category: 
Technology
Technology: 
artificial intelligence
Java
Programming Language: 
Java
C#

Slides for Introduction to Encog

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published by jeffheaton on Wed, 06/24/2009 - 07:19

On June 2nd I gave a presentation to the Gateway Java Users Group that presented a brief introduction to the Encog AI Framework. I've posted the slides online here for any who wish to view them.

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Gateway Java Users Group
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artificial intelligence
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Simulated Annealing Applet

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published by jeffheaton on Wed, 01/09/2008 - 23:54

Simulated annealing is a programming method that attempts to simulate the physical process of annealing. Annealing is a where a material is heated and then cooled (as steel or glass) usually for softening and making the material less brittle. Simulated annealing, therefore, exposes a "solution" to "heat" and cools producing a more optimal solution.

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