Heaton Research

Encog 2.2 for Silverlight and DotNet has been released!

jeffheaton — Tue, 17 Nov 2009 14:38:16 +0000

You can now download Encog 2.2 for DotNet/Silverlight. This is also the first version of Encog that officially supports Silverlight. This is the third platform to be supported by Encog. Thought Silverlight is very similar to DotNet there are some special features and specific DLL's need to be created. Silverlight runs on web pages, similar to Flash. You can now embed Encog directly into a web page. There are several examples of this on www.HeatonResearch.com/encog.

Version 2.2 adds many new features.

* Greatly increased performance

Getting Started on Encog in C#

jeffheaton — Tue, 17 Nov 2009 14:19:46 +0000

Our official guide to getting started with Encog C# has been added. You can download the PDF here:

http://www.heatonresearch.com/encog

Encog 2.2.0 for Java Released

jeffheaton — Wed, 11 Nov 2009 02:21:24 +0000

Encog 2.2.0 for Java has been released. This update is much faster and includes extensive multicore support. A DotNet release with similar features is already well underway, and expected in a few weeks. This is an important update for Encog. It includes many bug fixes from 2.1.0, as well as some important new features, such as:

* Considerable performance improvements
* MPROP Training - Similar to RPROP but tuned for MultiCore.
* Normalization - Built in normalization class

Getting Started PDF Released for Encog Java

jeffheaton — Sat, 07 Nov 2009 18:02:12 +0000

Encog has been lacking a getting started document for some time. I've completed a 75 page PDF that describes all of the basics of Encog. This is the Java version for now. C# will follow soon. This is a completly free EBook. I will be doing traditional books that go much deeper into Encog soon. You can download it from here. Just scroll down to "Getting Started".

http://www.heatonresearch.com/encog

What type of advanced neural network example would you like to see?

jeffheaton — Tue, 27 Oct 2009 18:23:17 +0000

Applying Multithreading to Resilient Propagation and Backpropagation

jeffheaton — Mon, 26 Oct 2009 10:28:16 +0000

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.

Chapters 3 & 4 of New Java Encog Book now Online

jeffheaton — Thu, 01 Oct 2009 00:03:44 +0000

You can now see Chapters 3&4 of the new Encog book for Java online.

http://www.heatonresearch.com/online/programming-neural-networks-encog-java

Chapter 2 of upcoming Encog for Java book now online

jeffheaton — Wed, 23 Sep 2009 12:25:30 +0000

The second chapter of the upcoming Encog for Java book is now online.

http://www.heatonresearch.com/online/programming-neural-networks-encog-j...

First Chapter of Java Encog Programming Book Now Online

jeffheaton — Sun, 20 Sep 2009 19:05:31 +0000

The first chapter of Programming Neural Networks with Encog 2 in Java is now online. You can view it here.

http://www.heatonresearch.com/online/programming-neural-networks-encog-java

More chapters will be added soon, probably one a week or so as they are edited. The first 6-7 chapters will be available free online. The entire book, probably 14 chapters total, will be sold in my usual paperback/ebook formats. Expect the entire book early 2010.

Hope to release the first C# chapter as well soon too!

Covers for Programming Encog Book

jeffheaton — Mon, 07 Sep 2009 20:52:44 +0000

The covers are now complete for the Programming Encog books. I hope to release these books in the Febuary to March timeframe.

Encog is an advanced neural network and bot programming framework. This book focuses on using Encog to create a variety of neural network architectures using the Java programming language. Neural network architectures such as feedforward/perceptrons, Hopfield, Elman, Jordan, Radial Basis Function, and Self Organizing maps are all demonstrated.