遗传算法在扫视眼动系统参数估计中的应用

基金项目:

北京市自然科学基金(3962005)

详细信息

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

1. Department of Biomedical Engineering, Capital University of Medical Science, Beijing, 100054;
2. Department of Applied Physics, Beijing Polytechnic University, Beijing, 100022;
3. Department of Automation, Beijing Polytechnic University, Beijing, 100022

摘要: 简要介绍了扫视眼动系统的数学模型,并用遗传算法对此模型中的参数进行了估计,仿真实验结果表明。遗传算法基本能准确地估计出各参数在正常生理状况下的取值,初步验证了其是进行扫视眼动系统参数估计的有效方法.
- 扫视系统 /
- 参数估计 /
- 遗传算法
Abstract: 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.
- saccade system /
- parameter estimation /
- genetic algorithm