首页|期刊导航|高技术通讯（英文版）|Simulation and optimization for synthetic technology of 2-chloro-4, 6-dinitroresorcinol based on back-propagation neural network
高技术通讯（英文版）2007，Vol.13Issue(3)：283-286,4.
Simulation and optimization for synthetic technology of 2-chloro-4, 6-dinitroresorcinol based on back-propagation neural network
Simulation and optimization for synthetic technology of 2-chloro-4, 6-dinitroresorcinol based on back-propagation neural network
摘要
Abstract
Back-propagation neural network was applied to predict and optimize the synthetic technology of 2-chloro-4,6-dinitroresorcinol. A model was established based on back-propagation neural network using the experimental data of homogeneous design as the training sample set and the technological parameters were optimized by it. The optimal technological parameters are as follows: the reaction time is 4h, the rewere performed and the average yield of 2-chloro-4,6-dinitroresorcinol is 96.64%, the absolute error of it with the predicted value is - 1.07 %.关键词
2-chloro-4, 6-dinitroresorcinol, synthetic technology, optimization, back-propagation neural network, model constructingKey words
2-chloro-4, 6-dinitroresorcinol, synthetic technology, optimization, back-propagation neural network, model constructing分类
信息技术与安全科学引用本文复制引用
..Simulation and optimization for synthetic technology of 2-chloro-4, 6-dinitroresorcinol based on back-propagation neural network[J].高技术通讯（英文版）,2007,13(3):283-286,4.基金项目
Supported by the High Technology Research and Development Programme of China (No. 2002AA305109). （No. 2002AA305109）
