工业水处理 ›› 2006, Vol. 26 ›› Issue (12): 14-17. doi: 10.11894/1005-829x.2006.26(12).14

• 专论与综述 • 上一篇    下一篇

人工神经网络在膜生物反应器膜污染预测中的应用前景

石宝强, 张捍民, 杨凤林, 孟凡刚, 张兴文   

  1. 大连理工大学环境与生命学院, 辽宁大连 116024
  • 收稿日期:2006-06-15 出版日期:2006-12-20 发布日期:2010-10-01
  • 作者简介:石宝强(1980- ),大连理工大学硕士研究生。E-mail:shibaoqiang@sohu.com。
  • 基金资助:

    国家自然科学基金资助项目(50308004)

Prospect of artificial neural network in the study of membrane fouling in membrane bioreactor

Shi Baoqiang, Zhang Hanmin, Yang Fenglin, Meng Fangang, Zhang Xingwen   

  1. School of Environmental and Biological Science and Technology, Dalian University of Technology, Dalian 116024, China
  • Received:2006-06-15 Online:2006-12-20 Published:2010-10-01

摘要:

近年来,膜污染逐渐成为膜生物反应器研究的热点问题,并面临着突破性进展。人工神经网络为膜生物反应器膜污染预测的研究提供了新的思路,是膜生物反应器优化控制的有效工具。作者对人工神经网络在膜污染中的应用进行了较为全面的综述,并指出了其在膜生物反应器膜污染研究中的应用前景。

关键词: 人工神经网络, 膜生物反应器, 膜污染

Abstract:

Recently, membrane fouling has become a key problemin the study ofmembrane bioreactor. Artificial neural network offers a newapproach to its study and prediction of membrane fouling, which is an effective tool to optimize membrane bioreactor operating conditions. A critical reviewon the potential application of artificial neural network in membrane fouling research is given, and the prospect of artificial neural network in membrane bioreactor is pointed out.

Key words: artificial neural network, membrane bioreactor, membrane fouling

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