Simple feedback logic, genetic algorithms and artificial neural networks for real-time control of a collection system
文献类型：期刊论文
| 作者 | Hajda, P; Novotny, V; Feng, X; Yang, RL |
| 刊名 | WATER SCIENCE AND TECHNOLOGY
 |
| 出版日期 | 1998 |
| 卷号 | 38期号:3页码:187-195 |
| 关键词 | artificial neural networks combined sewer overflows genetic algorithms real-time control |
| ISSN号 | 0273-1223 |
| 英文摘要 | This paper describes a pilot-scale implementation of a simple, real-time control (RTC) algorithm based on feedback and also outlines the development and simulation testing of a new RTC methodology that combines genetic algorithms (GAs) and artificial neural networks (ANNs). Computer simulations indicated that the simple feedback logic could reduce pumping by 50 to 80 percent if used to replace the existing RTC system in the test area. Experience with the algorithm after its implementation has confirmed the potential of the algorithm to reduce pumping. Additional simulations with an emerging approach to control (based on GAs) indicated possibilities of reducing pumping still further. Although relatively simple flow routing was used in the GAs, these algorithms do not restrict flow routing to any particular method. If highly accurate flow routing is incorporated, GAs are likely to be rendered too slow for on-line applications. Nevertheless, GAs can still be used, because they can be combined with fast executing on-line algorithms, such as ANNs. This possibility was demonstrated by training a multi-layer ANN to approximate one of the GAs developed. In verification runs the trained ANN provided virtually the same control decisions as did the GA used as the source of the training data. (C) 1998 Published by Elsevier Science Ltd. All rights reserved. |
| WOS研究方向 | Engineering ; Environmental Sciences & Ecology ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:000077215400025 |
| 出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
| 源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/13991]  |
| 专题 | 中国科学院数学与系统科学研究院 |
| 通讯作者 | Hajda, P |
| 作者单位 | 1.Univ Wisconsin, Dept Civil & Environm Engn, Milwaukee, WI 53201 USA 2.Univ Wisconsin, Dept Elect & Comp Engn, Milwaukee, WI 53201 USA 3.Chinese Acad Sci, Inst Syst Sci, Beijing 100080, Peoples R China |
| 推荐引用方式 GB/T 7714 | Hajda, P,Novotny, V,Feng, X,et al. Simple feedback logic, genetic algorithms and artificial neural networks for real-time control of a collection system[J]. WATER SCIENCE AND TECHNOLOGY,1998,38(3):187-195. |
| APA | Hajda, P,Novotny, V,Feng, X,&Yang, RL.(1998).Simple feedback logic, genetic algorithms and artificial neural networks for real-time control of a collection system.WATER SCIENCE AND TECHNOLOGY,38(3),187-195. |
| MLA | Hajda, P,et al."Simple feedback logic, genetic algorithms and artificial neural networks for real-time control of a collection system".WATER SCIENCE AND TECHNOLOGY 38.3(1998):187-195. |
入库方式： OAI收割
来源：数学与系统科学研究院
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