Adaptive neural network based fuzzy control for a smart idle stop and go vehicle control system-Reference-Cited by-同舟云学术

Adaptive neural network based fuzzy control for a smart idle stop and go vehicle control system

Published:2012-07-28 Issue:5 Volume:13 Page:791-799
ISSN:1229-9138
Container-title:International Journal of Automotive Technology
language:en
Short-container-title:Int.J Automot. Technol.

Author:

Cho K.,Choi S. B.,Choi S.,Son M.

Publisher

Springer Science and Business Media LLC

Subject

Automotive Engineering

Link

http://link.springer.com/content/pdf/10.1007/s12239-012-0079-3.pdf

Reference15 articles.

1. Bezdek, J. C. (1973). Fuzzy Mathematics in Pattern Classification. Ph.D. Dissertation. Cornell University. August.

2. Bezdek, J. C. (1981). Pattern Recognition with Fuzzy Objective Function Algorithms. Kluwer Academic Publishers Norwell. MA. USA.

3. Bezdek, J. C., Krisnapuram, R. and Pal, N. R. (2005). Fuzzy Models and Algorithms for Pattern Recognition and Image Processing. Springer-Verlag. New York.

4. Crosse, J. (2000). Tomorrow’s World. Auto. World. 46–48.

5. Mamdani, E. H. (1974). Application of fuzzy algorithms for control of simple dynamic plant. Proc. IEEE 121,12, 1585–1588.

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