Reinforced hybrid interval fuzzy neural networks architecture: Design and analysis-Reference-Cited by-同舟云学术

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Reinforced hybrid interval fuzzy neural networks architecture: Design and analysis

Published:2018-08 Issue: Volume:303 Page:20-36
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Kim Eun-Hu,Oh Sung-Kwun,Pedrycz Witold

Funder

National Research Foundation of Korea

(

NRF

)

Ministry of Education

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference48 articles.

1. An introduction to computing with neural nets;Lippman;IEEE ASSP Mag.,1981

2. Symbolic classification, clustering and fuzzy radial basis function network;Mali;Fuzzy Sets Syst,2005

3. Design of hybrid radial basis function neural networks (HRBFNNs) realized with the aid of hybridization of fuzzy clustering method (FCM) and polynomial neural networks (PNNs);Huang;Neural Netw.,2014

4. Fuzzy neural networks: a survey;Buckley;Fuzzy Sets Syst,1994

5. On the principles of fuzzy neural networks;Gupta;Fuzzy Sets Syst,1994

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