Application of Optimal Control and Fuzzy Theory for Dynamic Groundwater Remediation Design

被引：38

作者：

Chu, Hone-Jay ^{[1
]}

Chang, Liang-Cheng ^{[1
]}

机构：

[1] Natl Chiao Tung Univ, Dept Civil Engn, Hsinchu 30050, Taiwan

来源：

WATER RESOURCES MANAGEMENT | 2009年 / 23卷 / 04期

关键词：

CDDP; ANFIS; Remediation design; Ground water; NEURAL-NETWORKS; PUMPING RATES; MANAGEMENT; OPTIMIZATION; SYSTEM; ALGORITHM; OPERATION; COSTS;

D O I：

10.1007/s11269-008-9293-1

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

Obtaining optimal solutions for time-varying groundwater remediation design is a challenging task. A novel procedure first employs input/output data sets obtained by constrained differential dynamic programming (CDDP). Then the Adaptive-Network-Based Fuzzy Inference System (ANFIS), which is a fuzzy inference system (FIS) implemented in the adaptive network framework, is applied to acquire time-varying pumping rates. Results demonstrate that the FIS is an efficient way of groundwater remediation design.

引用

页码：647 / 660

页数：14

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