UNIFIED FRAMEWORK FOR MLPs AND RBFNs: INTRODUCING CONIC SECTION FUNCTION NETWORKS-Reference-Cited by-同舟云学术

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UNIFIED FRAMEWORK FOR MLPs AND RBFNs: INTRODUCING CONIC SECTION FUNCTION NETWORKS

Published:1994-07 Issue:4 Volume:25 Page:511-554
ISSN:0196-9722
Container-title:Cybernetics and Systems
language:en
Short-container-title:Cybernetics and Systems

Author:

Dorffner Georg

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Information Systems,Software

Link

http://www.tandfonline.com/doi/pdf/10.1080/01969729408902340

Reference31 articles.

1. Orthogonal least squares learning algorithm for radial basis function networks

2. Chui , C. K. , X. Li , and H. N. Mhaskar . 1992 . Neural networks for localized approximation . Unpublished manuscript , Texas A& M University .

3. Approximation by superpositions of a sigmoidal function

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