摘要
基于工程优化命题的特点对传统遗传算法进行了改进，改进算法在尿素工业过程神经网络建模和专家系统知识获取中的应用结果表明，该算法适用范围广，可有效地解决若干工程优化问题．
In this paper, a new improving genetic algorithm is proposed. It is applied in two aspects for urea production process. One is to train neural networks for higher accurancy, another is to acquire process knowledge as one of the main sources of expert system knowledge base. The application results show the algorithm is effective.
出处
《控制与决策》
EI
CSCD
北大核心
1995年第3期261-264,共4页
Control and Decision
关键词
遗传算法
全局优化
神经网络
专家系统
genetic algorithm, optimization, neural networks, expert system
