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Application of Genetic Algorithm to the Parameter Estimation of Saccade Oculomotor System

Shao Ji;Liu Weifang;Liu Yaqin;Ouyang Kai (Department of Biomedical Engineering, Capital University of Medical Science, Beijing, 100054 ) Li Zhongcheng (Department of Applied Physics, Beijing Polytechnic University, Beijing, 100022) Li zhi (Department of A  
The mathematical model of the saccade oculomotor system is introduced and the parameters of this model are estimated by genetic algorithm. The result from simulating experiment indicates that genetic algorithm precisely calculates the parameter values in normal physiological condition. It is preliminarily tested and verified thereby that genetic algorithm is an effective method for estimating the parameters of the saccade oculomotor system.
【Fund】: 北京市自然科学基金!3962005
【CateGory Index】: R318.04
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