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Improved Chaotic Quantum-Behaved Particle Swarm Optimization Algorithm for Fuzzy Neural Network and Its Application
Joint Authors
Peng, Yuexi
Lei, Kejun
Yang, Xi
Peng, Jinzhang
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-03-28
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Traditional fuzzy neural network has certain drawbacks such as long computation time, slow convergence rate, and premature convergence.
To overcome these disadvantages, an improved quantum-behaved particle swarm optimization algorithm is proposed as the learning algorithm.
In this algorithm, a new chaotic search is introduced, and benchmark function experiments prove it outperforms the other five existing algorithms.
Finally, the proposed algorithm is presented as the learning algorithm for Takagi–Sugeno fuzzy neural network to form a new neural network, and it is utilized in the water quality evaluation of Dongjiang Lake of Hunan province.
Simulation results demonstrated the effectiveness of the new neural network.
American Psychological Association (APA)
Peng, Yuexi& Lei, Kejun& Yang, Xi& Peng, Jinzhang. 2020. Improved Chaotic Quantum-Behaved Particle Swarm Optimization Algorithm for Fuzzy Neural Network and Its Application. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1202250
Modern Language Association (MLA)
Peng, Yuexi…[et al.]. Improved Chaotic Quantum-Behaved Particle Swarm Optimization Algorithm for Fuzzy Neural Network and Its Application. Mathematical Problems in Engineering No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1202250
American Medical Association (AMA)
Peng, Yuexi& Lei, Kejun& Yang, Xi& Peng, Jinzhang. Improved Chaotic Quantum-Behaved Particle Swarm Optimization Algorithm for Fuzzy Neural Network and Its Application. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1202250
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1202250