哈尔滨工业大学学报（英文版）2000，Vol.7Issue(3)：70-74,5.
Using genetic algorithm to learn neural network identifier for modeling gyro startup drift rate
Using genetic algorithm to learn neural network identifier for modeling gyro startup drift rate
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作者信息
- 1. Dept. of Control Engineering, Harbin Institute of Technology, Harbin 150001, China;Dept. of Control Engineering, Harbin Institute of Technology, Harbin 150001, China;Dept. of Control Engineering, Harbin Institute of Technology, Harbin 150001, China
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摘要
Abstract
Studies the modeling of gyro startup drift rate from acquired experimental gyro startup drift rate data and the nonlinear dynamic models of gyro startup drift rate related temperature established by time-delay neural network which enables the gyro temperature drift rate to be compensated in the process of startup and the gyro instant startup to be implemented. And introduces an improved genetic algorithm to learn the weights of neural network identifier to avoid stacking into the local minimal value and achieve rapid convergence.关键词
genetic algorithm/neural network/system identification/gyro/nonlinear systemsKey words
genetic algorithm/neural network/system identification/gyro/nonlinear systems分类
信息技术与安全科学引用本文复制引用
..Using genetic algorithm to learn neural network identifier for modeling gyro startup drift rate[J].哈尔滨工业大学学报（英文版）,2000,7(3):70-74,5.
