uncleflo
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Charles Anderson's pole simulator
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.
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List of Runge–Kutta methods
Saved by uncleflo on January 22nd, 2009.
From Wikipedia, the free encyclopedia, Redirected from List of Runge-Kutta methods
Runge–Kutta methods are methods for the numerical solution of the ordinary differential equation
Fuzzy Inference Systems
Saved by uncleflo on January 22nd, 2009.
Fuzzy inference is the process of formulating the mapping from a given input to an output using fuzzy logic. The mapping then provides a basis from which decisions can be made, or patterns discerned.
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An introduction to neural networks
Saved by uncleflo on January 22nd, 2009.
Pattern learning with the back-propagation algorithm
Level: Intermediate
Written by: Andrew Blais and David Mertz on 01 Jul 2001
Neural nets may be the future of computing. A good way to understand them is with a puzzle that neural nets can be used to solve.
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