(Enter summary)
Abstract: CMAC (Albus, 1975b) is well known as a good function approximator with local generalization
abilities. Depending on the smoothness of the function to be approximated, the resolution as the
smallest distinguishable part of the input domain, plays a crucial role. If the usually used binary
quantizing functions are dropped in favor of more general, continuous-valued functions, this drawback
can be remedied. We introduce such a model, using gaussians instead of binary functions. We apply
the method ... (Update)
Context of citations to this paper: More
...sub spaces of C and combine them. In this report we improve an approach for subgoal generation introduced in Baginski and Eldracher (1994). We will plan trajectories in a dynamically changing configuration space C from a start s to a goal g using exactly one subgoal...
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BibTeX entry: (Update)
Eldracher, M., Staller, A., and Pompl, R. (1994). Function Approximation with Continuous Valued Activation Functions in CMAC. Forschungsberichte Kunstliche Intelligenz FKI-199-94, Institut fur Informatik, Technische Universitat Munchen. http://citeseer.comp.nus.edu.sg/112382.html More
@misc{ eldracher94function,
author = "M. Eldracher and A. Staller and R. Pompl",
title = "Function Approximation with Continuous Valued Activation Functions in CMAC",
text = "Eldracher, M., Staller, A., and Pompl, R. (1994). Function Approximation
with Continuous Valued Activation Functions in CMAC. Forschungsberichte
Kunstliche Intelligenz FKI-199-94, Institut fur Informatik, Technische Universitat
Munchen.",
year = "1994",
url = "citeseer.comp.nus.edu.sg/112382.html" }
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Documents on the same site (http://papa.informatik.tu-muenchen.de/~eldrache/publications.html): More
Neural Subgoal Generation using Backpropagation - M. Eldracher, B. Baginski (1993)
(Correct)
A Topologically Distributed Encoding to Facilitate Learning - Eldracher, Waschulzik (1993)
(Correct)
Neural Modeling of the Kinematics of Robot Trajectories - M. Eldracher, D.. (1992)
(Correct)
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