Real-Coded Quantum-Inspired Genetic Algorithm-Based BP Neural Network Algorithm
Joint Authors
Wang, Huaixiao
Liu, Jianyong
Fu, Chengqun
Sun, Yangyang
Guo, Jie
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-01-20
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
The method that the real-coded quantum-inspired genetic algorithm (RQGA) used to optimize the weights and threshold of BP neural network is proposed to overcome the defect that the gradient descent method makes the algorithm easily fall into local optimal value in the learning process.
Quantum genetic algorithm (QGA) is with good directional global optimization ability, but the conventional QGA is based on binary coding; the speed of calculation is reduced by the coding and decoding processes.
So, RQGA is introduced to explore the search space, and the improved varied learning rate is adopted to train the BP neural network.
Simulation test shows that the proposed algorithm is effective to rapidly converge to the solution conformed to constraint conditions.
American Psychological Association (APA)
Liu, Jianyong& Wang, Huaixiao& Sun, Yangyang& Fu, Chengqun& Guo, Jie. 2015. Real-Coded Quantum-Inspired Genetic Algorithm-Based BP Neural Network Algorithm. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1074163
Modern Language Association (MLA)
Liu, Jianyong…[et al.]. Real-Coded Quantum-Inspired Genetic Algorithm-Based BP Neural Network Algorithm. Mathematical Problems in Engineering No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1074163
American Medical Association (AMA)
Liu, Jianyong& Wang, Huaixiao& Sun, Yangyang& Fu, Chengqun& Guo, Jie. Real-Coded Quantum-Inspired Genetic Algorithm-Based BP Neural Network Algorithm. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1074163
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074163