摘要
基于BP神经网络算法生成误差补偿单元 ,提出一种高效、高精度的采样学习实施方法和具体算法迭代格式 ,对天线伺服机械数据进行有效校正 ,实现系统高精度的智能化创成。方法简单可行 ,显著提高系统精度 。
On basis of BP Neural Net Algorithm that creates error compensation units, high efficient and high performance sampling studying method and concrete algorithm iterative format has been presented. It makes an efficient correction to antenna servo mechanism data and realizes high precision intelligent creation of system. This method is workable as well as simple, which can remarkably improve the system precision and decrease cost of system and maintenance.
出处
《电子机械工程》
2002年第3期48-51,共4页
Electro-Mechanical Engineering
