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Saved by uncleflo on June 16th, 2012.
Fast Artificial Neural Network Library is a free open source neural network library, which implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks. Cross-platform execution in both fixed and floating point are supported. It includes a framework for easy handling of training data sets. It is easy to use, versatile, well documented, and fast. Bindings to more than 15 programming languages are available. An easy to read introduction article and a reference manual accompanies the library with examples and recommendations on how to use the library. Several graphical user interfaces are also available for the library.
fast artificial neural network library opensource multilayer c development cross platform framework easy versatile information reference
Saved by uncleflo on January 22nd, 2009.
This file contains a simulation of the cart and pole dynamic system and a procedure for learning to balance the pole that uses multilayer connectionist networks. Both are described in Anderson, "Strategy Learning with Multilayer Connectionist Representations," GTE Laboratories TR87-509.3, 1988. This is a corrected version of the report published in the Proceedings of the Fourth International Workshop on Machine Learning, Irvine, CA, 1987.
simulation cart pole dynamic system multilayer connectionist network coursework artificial neural
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