Guize Liu1,2, Jinqing Ye2, Yuan Chen2, Xiaolong Yang2, Yanbin Gu2,*
CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.1, pp. 315-329, 2022, DOI:10.32604/cmes.2022.016224
Abstract This study explores the loss or degradation of the ecosystem and its service function in the Liaohe estuary coastal zone due to the deterioration of water quality. A prediction system based on support vector machine (SVM)-particle swarm optimization (PSO) (SVM-PSO) algorithm is proposed under the background of deep learning. SVM-PSO algorithm is employed to analyze the pollution status of the Liaohe estuary, so is the difference in water pollution of different sea consuming types. Based on the analysis results for causes of pollution, the control countermeasures of water pollution in Liaohe estuary are put forward. The results suggest that the… More >
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