基于混合人工鱼群优化SVR的交通流量预测

引用

页码：632 / 637

页数：6

共 13 条

[1]

人工鱼群与微粒群混合优化算法 [J].

姚祥光 ;

周永权 ;

李咏梅 .

计算机应用研究, 2010, 27 (06) :2084-2086+2102

[2]

基于支持向量回归机的交通状态短时预测方法研究 [J].

姚智胜 ;

邵春福 ;

高永亮 .

北京交通大学学报, 2006, (03) :19-22

[3]

一种新型的智能优化方法-人工鱼群算法 [D].

李晓磊 .

浙江大学,

2003

[4]

A hybrid of real coded genetic algorithm and artificial fish swarm algorithm for short-term optimal hydrothermal scheduling.[J].Na Fang;Jianzhong Zhou;Rui Zhang;Yi Liu;Yongchuan Zhang.International Journal of Electrical Power and Energy Systems.2014,

[5]

Short-term traffic forecasting: Where we are and where we’re going.[J].Eleni I. Vlahogianni;Matthew G. Karlaftis;John C. Golias.Transportation Research Part C.2014,

[6]

Urban traffic flow forecasting using Gauss–SVR with cat mapping; cloud model and PSO hybrid algorithm.[J].Ming-Wei Li;Wei-Chiang Hong;Hai-Gui Kang.Neurocomputing.2013,

[7]

Modification of the fish swarm algorithm with particle swarm optimization formulation and communication behavior [J].

Tsai, Hsing-Chih ;

Lin, Yong-Huang .

APPLIED SOFT COMPUTING, 2011, 11 (08) :5367-5374

[8]

Traffic flow forecasting by seasonal SVR with chaotic simulated annealing algorithm.[J].Wei-Chiang Hong.Neurocomputing.2011, 12

[9]

LIBSVM.[J].Chih-Chung Chang;Chih-Jen Lin.ACM Transactions on Intelligent Systems and Technology (TIST).2011, 3

[10]

Forecasting urban traffic flow by SVR with continuous ACO.[J].Wei-Chiang Hong;Yucheng Dong;Feifeng Zheng;Chien-Yuan Lai.Applied Mathematical Modelling.2010, 3

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