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| GMDH network model and its application based on immune genetic algorithm |
1.Institute of Systems Engineering,Southeast University,Nanjing,Jiangsu 210096,China; 2.Institute of Mathematical Research,Nanjing Institute of Technology,Nanjing,Jiangsu 211167,China）
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Abstract Considering the problem in modeling of the conventional GMDH network,the least square me-thod used to identify coefficients often led to local minimization,and forecasting was not inaccurate enough,a concept was proposed by combining the immune algorithm and genetic algorithm into the GMDH network to identify its partial descriptive coefficients. An adaptive immune genetic algorithm was provided,and based on this algorithm an IGA-GMDH network model was constructed. This model was applied to simulate the traffic volume at an intersection of Suzhou. The results show that the model can secure global optimization and high precision of corresponding solutions,improve the capacities of global optimization and local optimization,and possesses higher precision of forecasting than the conventional GMDH network.
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2009, Vol. 30 
