On Comparing Performance of Conventional Fuzzy System with Recurrent Fuzzy System-Reference-Cited by-同舟云学术

On Comparing Performance of Conventional Fuzzy System with Recurrent Fuzzy System

Published:2017-11-25 Issue: Volume: Page:389-403
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
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Author:

Dass Anuli,Srivastava Smriti

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-5687-1_35

Reference14 articles.

1. Wong, C.C., Lin, N.S.: Rule extraction for fuzzy modeling. Fuzzy Sets Syst. 88, 23–30 (1997)

2. Gorrini, V., Bersini, H.: Recurrent fuzzy systems. In: Proceedings of the Fifth IEEE International Conference on Fuzzy Systems, pp. 193–198. New Orleans (1994)

3. Carlos, K., Roggero, P., Apolloni, J.: Evolution of recurrent fuzzy controllers. In: VI Workshop de Investigadores en Ciencias de la Computación (2004)

4. Narendra, K.S., Parthasarthy, K.: Identification and control of dynamical systems using neural networks. IEEE Trans. Neural Netw. 1(1) (1990)

5. Surmann, H., Maniadakis, M.: Learning feed-forward and recurrent fuzzy systems: a genetic approach. Elsevier J. Syst. Archit. 47, 649–662 (2001)

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