文献类型：期刊文献

英文题名：Researches on the mixture compensating method based on dynamic neural network and genetic algorithm

作者：Zhao, Weilun[1,2] Wang, Yan[1,2] Zhou, Yucheng[3] Jing, Yuanwei[2]

第一作者：Zhao, Weilun

通信作者：Zhao, W.

机构：[1] Shenyang Institute of Engineering, Shenyang 110136, China; [2] College of Information Science and Engineering, Northeastern University, Shenyang 110004, China; [3] Research Institute of Wood Industry, Chinese Academy of Forestry, Beijing 100091, China

年份：2011

起止页码：3073-3077

外文期刊名：Proceedings of the 2011 Chinese Control and Decision Conference, CCDC 2011

收录：EI(收录号：20113614295130)

语种：英文

外文关键词：Computational complexity - Genetic algorithms - Neural networks

摘要：Because of complexity of automatic mixture system, conventional compensating control method cannot meet the required question precisely. A kind of mixture control system, based on dynamic neural network, is designed through analyzing the influence precision factors of mixture. Simulation is studied by collecting the mixture historical data from field engineering. And the simulation results illustrate that the method can reduce the mixture error effectively. ? 2011 IEEE.