Journal
IEEE ACCESS
Volume 8, Issue -, Pages 101369-101376Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2020.2998446
Keywords
Fuzzy system; neural networks; earthquake modeling; stability
Categories
Funding
- CONACYT Postdoctoral Scholarship
- CONACYT Basic Science [A1-S-8216]
- CONACYT Research Fellows Program
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Data driven fuzzy neural networks have some disadvantages, such as high dimensions and complex learning process. Also, the obtained models are difficult to interpret. In this paper, we propose a novel simple fuzzy system, which uses fuzzy adaptive neurons. This novel model takes the advantages of the interpretability of the fuzzy system and good approximation ability of the neural networks. We propose a simple learning algorithm for the novel fuzzy system. The stability analysis is given. We successfully apply this fuzzy model for the earthquake modeling. Comparisons with the popular fuzzy neural model are proposed.
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