针对遗传算法和神经网络的不足，介绍了对非线性校正的遗传神经网络方法。计算机仿真结果表明了该方法的收敛速度优越于其它传统方法，且具有较强的鲁棒性。关键词：变送器 遗传算法 神经网络 非线性校正Abstract：Genetic neural network model of solving the problem in non-linearity rectification is put forward for genetic algorithms and neural network methods. Computer simulations are given to demonstrate that the convergence rate of the model is faster than other conventional methods and possesses stronger robustness.Key words: transmitter genetic algorithms neural network non-linearity rectification
猜您喜欢
推荐内容
开源项目推荐 更多
热门活动
热门器件
用户搜过
随便看看
热门下载
热门标签
京公网安备 11010802033920号
Copyright © 2005-2024 EEWORLD.com.cn, Inc. All rights reserved
评论