A Beta basis function Interval Type-2 Fuzzy Neural Network for time series applications-Reference-Cited by-同舟云学术

A Beta basis function Interval Type-2 Fuzzy Neural Network for time series applications

Published:2018-05 Issue: Volume:71 Page:259-274
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Baklouti N.,Abraham A.,Alimi A.M.

Funder

Ministry of Higher Education and Scientific Research of Tunisia

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference60 articles.

1. Alimi, M., 1997a. The beta fuzzy system: approximation of standard membership functions. In: Proceedings 17 Eme Journees Tunisiennes D’Electrotechnique Et D’Automatique, JTEA’97, Vol. 1, Tunisia, pp. 108–112.

2. Alimi, M., 1997b. The recognition of Arabic handwritten characters With the Beta neuro Fuzzy network. In: Proceedings 17 Eme Journees Tunisiennes D’Electrotechnique Et D’Automatique, JTEA’97, Vol. 1, Tunisia, pp. 349–356.

3. The Beta system : toward a change in our use of neuro-fuzzy systems;Alimi;Int. J. Manag.,2000

4. Beta neuro-fuzzy systems;Alimi;TASK Quart. J. Spec. Issue Neural Netw.,2003

5. Beta fuzzy logic systems: Approximation properties in the siso case;Alimi;Int. J. Appl. Math. Comput. Sci.,2000

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