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Zhao, M. and Hao, S., 2019. Prediction model of ecological environment carrying capacity in the waters of Hainan Island. In: Guido-Aldana, P.A. and Mulahasan, S. (eds.), Advances in Water Resources and Exploration. Journal of Coastal Research, Special Issue No. 93, pp. 436–442. Coconut Creek (Florida), ISSN 0749-0208. In order to improve the optimal management and bearing control ability of Hainan boundary island waters ecological environment, it is necessary to optimize and predict the ecological environment carrying capacity of Hainan boundary island waters, and put forward the optimization prediction method of Hainan boundary island waters ecological environment carrying capacity based on association rule bearing control and fuzzy adaptive clustering. The statistical sequence distribution model of ecological environment carrying capacity of Hainan boundary island waters is constructed. Big data statistical information modeling of Hainan boundary island waters ecological environment carrying capacity is carried out by using big data mining method. The characteristics of association rules of Hainan boundary island waters ecological environment carrying capacity are extracted, and the automatic clustering treatment of Hainan boundary island waters ecological environment carrying capacity big data is carried out by using fuzzy clustering method. The optimal iterative model for predicting the ecological environment carrying capacity of Hainan boundary island waters is established, and the optimal prediction of ecological environment carrying capacity of Hainan boundary island waters is realized by combining the adaptive optimization algorithm. The simulation results show that the method has good adaptability and high prediction accuracy, and improves the adaptive bearing control and management ability of the ecological environment of Hainan boundary island waters. [ABSTRACT FROM AUTHOR]

In order to improve the optimal management and bearing control ability of Hainan boundary island waters ecological environment, it is necessary to optimize and predict the ecological environment carrying capacity of Hainan boundary island waters, and put forward the optimization prediction method of Hainan boundary island waters ecological environment carrying capacity based on association rule bearing control and fuzzy adaptive clustering. The statistical sequence distribution model of ecological environment carrying capacity of Hainan boundary island waters is constructed. Big data statistical information modeling of Hainan boundary island waters ecological environment carrying capacity is carried out by using big data mining method. The characteristics of association rules of Hainan boundary island waters ecological environment carrying capacity are extracted, and the automatic clustering treatment of Hainan boundary island waters ecological environment carrying capacity big data is carried out by using fuzzy clustering method. The optimal iterative model for predicting the ecological environment carrying capacity of Hainan boundary island waters is established, and the optimal prediction of ecological environment carrying capacity of Hainan boundary island waters is realized by combining the adaptive optimization algorithm. The simulation results show that the method has good adaptability and high prediction accuracy, and improves the adaptive bearing control and management ability of the ecological environment of Hainan boundary island waters. [ABSTRACT FROM AUTHOR]

Zhao, M. and Hao, S., 2019. Prediction model of ecological environment carrying capacity in the waters of Hainan Island. In: Guido-Aldana, P.A. and Mulahasan, S. (eds.), Advances in Water Resources and Exploration. Journal of Coastal Research, Special Issue No. 93, pp. 436–442. Coconut Creek (Florida), ISSN 0749-0208. In order to improve the optimal management and bearing control ability of Hainan boundary island waters ecological environment, it is necessary to optimize and predict the ecological environment carrying capacity of Hainan boundary island waters, and put forward the optimization prediction method of Hainan boundary island waters ecological environment carrying capacity based on association rule bearing control and fuzzy adaptive clustering. The statistical sequence distribution model of ecological environment carrying capacity of Hainan boundary island waters is constructed. Big data statistical information modeling of Hainan boundary island waters ecological environment carrying capacity is carried out by using big data mining method. The characteristics of association rules of Hainan boundary island waters ecological environment carrying capacity are extracted, and the automatic clustering treatment of Hainan boundary island waters ecological environment carrying capacity big data is carried out by using fuzzy clustering method. The optimal iterative model for predicting the ecological environment carrying capacity of Hainan boundary island waters is established, and the optimal prediction of ecological environment carrying capacity of Hainan boundary island waters is realized by combining the adaptive optimization algorithm. The simulation results show that the method has good adaptability and high prediction accuracy, and improves the adaptive bearing control and management ability of the ecological environment of Hainan boundary island waters. [ABSTRACT FROM AUTHOR]