Optimized BP neural network based on simulated annealing algorithm for pH value prediction

Chinese Journal of Sensors and Actuators

Volumn 27, Issue 12, 2014, Pages 1643-1648

  You, Lihua ^a,b   Wu, Jingjing ^a,b   Wang, Yao ^a,b   Song, Shujuan ^a,b  

^a JIANGNAN UNIVERSITY   (China)

^b JIANGSU KEY LABORATORY OF ADVANCED FOOD MANUFACTURING EQUIPMENT AND TECHNOLOGY   (China)

Author keywords

BP neural network; Nonlinear regression; PH value; Simulated annealing

Indexed keywords

EID: 84921514057     PISSN: 10041699     EISSN: None     Source Type: Journal    
DOI: 10.3969/j.issn.1004-1699.2014.12.011     Document Type: Article

References (3)

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2. Bandyopadhyay S. Multiobjective Simulated Annealing for Fuzzy Clustering with Stability and Validity[J]. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, 2011, 45(5): 682-691.
3. Amari S, Murata N, Muller K R, et al. A Symptotic Statistical Theory of Overtraining and Cross-Validation[J]. IEEE Trans Neural Networks, 1997, 8(5): 985-996.