WANG Xiao-yi, TANG Li-na, LIU Zai-wen, et al. Research on the Fuzzy Petri Net Optimization Modeling of Water Bloom Formation Process[J]. Acta Electronica Sinica, 2013, 41(1): 68-71.
WANG Xiao-yi, TANG Li-na, LIU Zai-wen, et al. Research on the Fuzzy Petri Net Optimization Modeling of Water Bloom Formation Process[J]. Acta Electronica Sinica, 2013, 41(1): 68-71. DOI: 10.3969/j.issn.0372-2112.2013.01.013.
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.