期刊文献+

基于RBF网络模型的混凝投药智能决策支持系统 被引量:1

Intelligent Decision Support System Based on the RBF Network Model in Coagulating Treatment
在线阅读 下载PDF
导出
摘要 介绍了基于径向基函数网络模型的混凝投药智能决策支持系统的机构、功能及其核心系统:径向基函数网络模型子系统和专家子系统的原理和实现方法。在实际水厂中的运行结果表明:与传统的SCD系统相比,该智能决策支持系统能实时确定混凝剂投加量,且沉淀池出水水质较好。 An Intelligent Decision Support System based on the RBF network model (RBF- IDSS) is recommended to control the chemical dosing in coagulating treatment of water. Introductions on the construction, function and the core system of this system are conducted, as well as the principles and realization methods for RBF network model system and Expert System(ES). The practical operation results show that this system can make sure the dosage in real time and the turbidity of the outflow water in the sediment tank is more rational, compared to the conventional SCD system.
出处 《工业安全与环保》 2006年第4期4-6,共3页 Industrial Safety and Environmental Protection
关键词 智能决策系统 RBF网络模型 专家子系统 混凝剂投加量 intelligent decision support system RBF network model export system chemical dosage in coagulating
  • 相关文献

参考文献1

二级参考文献5

  • 1李星,李虹,李圭白.悬浮液透光率脉动检测原理[J].哈尔滨建筑大学学报,1996,29(5):39-43. 被引量:5
  • 2Altrock M, J6rg Gebhardt. Resent successful fuzzy logic application in industry automation. IEEE, 1996, 0 - 7803 - 3645 : 1845 -- 1851.
  • 3Anthony G Collins, Glenm W Ellis. Irdormation processing coupled with expert systems for water treatment plants. ISA, 1992, 31(1) :25 -- 31.
  • 4H C Anderson, A Lotfi, A C Tsoi. A new approach to adaptive fuzzy control: the controller output error method. IEEE Trans On SMC 1997, 27(4) :686--691.
  • 5白桦,李圭白.基于神经网络的混凝投药系统预测模型[J].中国给水排水,2002,18(6):46-47. 被引量:13

共引文献23

同被引文献38

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部