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《Acta Electronica Sinica》 2013-01
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Research on the Fuzzy Petri Net Optimization Modeling of Water Bloom Formation Process

WANG Xiao-yi,TANG Li-na,LIU Zai-wen,XU Ji-ping(Computer and Information Engineering Institute,Beijing Technology and Business University,Beijing 100048,China)  
The Petri-net is utilized to preliminarily construct the mechanism model for evolutionary process of water bloom on the bases of deep research of the mechanism of evolution of lake water bloom.Considering the integrated mechanism of water bloom that affects key factors for the formation of algal water bloom and the results of the experimental analysis,membership function is constructed to fuzzy the library reliability of the Petri-net mechanism model and particle swarm optimization is used to optimize the weight involving the mechanism model.Meanwhile,with the neural network adaptively learning the mechanism model reliability,mechanism modeling and prediction are realized for algae water bloom outbreak.
【Fund】: 国家自然科学基金(No.51179002);; 北京市自然科学基金重点项目(No.8101003);; 北京市科技新星计划项目(No.2010B007);; 北京工商大学研究生创新基金(No.19000101026)
【CateGory Index】: X173;TP301.1
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