NDLI: Set pair analysis and BP neural network coupling model for optimal selection of flood control operation

Content Provider	IEEE Xplore Digital Library
Author	Chengguo Wu Yimin Wang Juliang Jin Yiming Wei Qiang Huang
Copyright Year	2010
Description	Author affiliation: Key Lab of Northwest Water Resources and Environment Ecology of MOE, Xi'an University of Technology, 710048, China (Chengguo Wu; Yimin Wang; Qiang Huang) \|\| School of Management & Economic, Beijing Institute of Technology, 100081, China (Yiming Wei) \|\| School of Civil & Hydraulic Engineering, Hefei University of Technology, 230009, China (Juliang Jin)
Abstract	Reservoir flood control operation, which plays an important role in reducing the flood loss, ensuring the safety of life and property and realizing the safe utilization of flood resources, is a complex decision making problem involving flood control, water supply and power generation. For the precise optimal solution of reservoir flood control operation is difficult to be found, thus the researching emphasis is how to identify the optimal scheme from the feasible scheme set. Basing on the establishment of evaluating scheme and index system for reservoir flood control operation, the SPA method can be used to determine the connection number component corresponding to different indexes between the feasible and ideal schemes, and through the weight values of indexes determined by AGA-FAHP, the connection number component would be synthesized into final connection number. Thus the ANN-AGA would be used to evaluate the practical schemes, and by the sorting for the schemes according to their final connection numbers, then the set pair analysis and BP neural network coupling model for optimal selection of flood control operation (named BP-SPA for short) is proposed. The applying results indicate that this method can reflect the differences between the practical and ideal optimal schemes comprehensively, and the evaluating result is reasonable and reliable, so it can be applied to other optimal selection process of complex systems.
Starting Page	2238
Ending Page	2243
File Size	141293
Page Count	6
File Format	PDF
ISBN	9781424451814
DOI	10.1109/CCDC.2010.5498831
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-05-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Power supplies Set Pair Analysis Decision making Reservoir Flood Control Operation Genetic Algorithm Floods BP Neural Network Fuzzy Analytic Hierarchy Process Neural networks Optimal control Control system synthesis Reservoirs Safety Water resources Power generation Optimal Selection of Schemes
Content Type	Text
Resource Type	Article

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