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出 处:《南昌大学学报(工科版)》2005年第3期76-78,82,共4页Journal of Nanchang University(Engineering & Technology)
摘 要:从分析当前主要的混凝技术入手,提出了基于实例推理技术的实时专家系统的控制方案,给出了系统的前馈、反馈控制结构,其前馈控制采用实时专家控制系统,反馈控制采用常规PID控制.介绍了前馈实时专家控制系统中案例库的组成及更新方法、推理决策机构根据现时数据对案例库中的记录进行匹配的算法以及专家系统的自学习与自适应方法等.实践表明,该方案能够对水处理的絮凝过程进行有效控制,还可结合应用系统的实际特点,不断地自学习和自适应,以达到最优效果.In this paper, it provides mainstream technologies in water treatment and analyzes the theories and drawbacks in it , a new method depending on real - time expert system is presented, and a feedback - forefeed control structure are designed, the forefeed control adopting real - time expert system, the feedback control adopting general PID are designed. It is introduced that buildup and update of cases database, suited method in cases of database decision - making using real - time data and self - learning and self - adaptive method of expert system. It showed that the technique can be applied to controll water treatment. The obvious characters of this system are self -learning and self- adaptive, realizing optimal purpose.
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