Air Quality Prediction Method Based on Fish Swarm and Fractal Dimension
NI Zhiwei, ZHU Xuhui, CHENG Meiying
School of Management, Hefei University of Technology, Hefei 230009 Key Laboratory of Process Optimization and Intelligent Decision-Making of Ministry of Education,Hefei University of Technology, Hefei 230009
Abstract：To overcome defects of the existing air quality prediction method, an air quality prediction method based on fish swarm and fractal dimension is proposed. Firstly, the artificial fish are processed by discretization, the swarming and foraging behaviors and the moving way are improved, and the parallel mechanism and a strategy for overcoming local optimum are introduced. Secondly, air quality datasets are reduced by the improved discrete artificial fish swarm algorithm and the fractal dimension. Finally, an air quality prediction model is built by using Gaussian kernel SVM. Experiments are conducted on air quality datasets of Beijing, Shanghai and Guangzhou for nearly two years, and the experimental results show the relatively high stability and credibility of the proposed prediction method.
倪志伟，朱旭辉，程美英. 基于人工鱼群和分形维数融合SVM的空气质量预测方法*[J]. 模式识别与人工智能, 2016, 29(12): 1122-1131.
NI Zhiwei, ZHU Xuhui, CHENG Meiying. Air Quality Prediction Method Based on Fish Swarm and Fractal Dimension. , 2016, 29(12): 1122-1131.
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