东南大学学报（英文版）2001，Vol.17Issue(1)：4-7,4.
基于遗传算法的非线性传感器模型辨识
Genetic Algorithm-Based Estimation of Nonlinear Transducer
摘要
Abstract
This paper describes an innovative, genetic algorithm-based inverse model of nonlinear transducer. In the inverse modeling, using a genetic algorithm, the unknown coefficients of the model are estimated accurately. The simulation results indicate that this technique provides greater flexibility and suitability than the existing methods. It is very easy to modify the nonlinear transducer on line. Thus the method improves the transducer's accuracy. With the help of genetic algorithm (GA), the model coefficients' training are less likely to be trapped in local minima than traditional gradient-based search algorithms.关键词
非线性传感器/遗传算法/逆模型分类
信息技术与安全科学引用本文复制引用
庄哲民,黄惟一..基于遗传算法的非线性传感器模型辨识[J].东南大学学报（英文版）,2001,17(1):4-7,4.
