A case-based approach for modeling nonlinear systems-Reference-Cited by-同舟云学术

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A case-based approach for modeling nonlinear systems

Published:1996-01 Issue:1 Volume:77 Page:77-86
ISSN:0165-0114
Container-title:Fuzzy Sets and Systems
language:en
Short-container-title:Fuzzy Sets and Systems

Author:

Narazaki Hiroshi,Watanabe Toshihiko

Publisher

Elsevier BV

Subject

Artificial Intelligence,Logic

Reference6 articles.

1. On the approximate realization of continuous mappings by neural networks;Funahashi;Neural Networks,1989

2. An adaptive fuzzy system for modeling chaos;Hiew;Inform. Sci. Intelligent Systems,1994

3. A nonlinear signal processing using a reconfigurable knowledge database;Iiguni,1994

4. Fuzzy identification of systems and its applications to modeling and control;Takagi;IEEE Trans. Systems Man Cybernet.,1985

5. Chiller performance deterioration using topological case based modeling;Tsutsui,1993

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A fuzzy linear basis algorithm for nonlinear separable programming problems;Fuzzy Sets and Systems;2001-04

2. Using fuzzy bases to resolve nonlinear programming problems;Fuzzy Sets and Systems;2001-01

3. Self-organized fuzzy system generation from training examples;IEEE Transactions on Fuzzy Systems;2000

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