Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 647-660 |
| Number of pages | 14 |
| Journal | Water Resources Management |
| Volume | 23 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 2009 Jan 1 |
All Science Journal Classification (ASJC) codes
- Civil and Structural Engineering
- Water Science and Technology
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Cite this
Chu, H. J., & Chang, L. C. (2009). Application of optimal control and fuzzy theory for dynamic groundwater remediation design. Water Resources Management, 23(4), 647-660. https://doi.org/10.1007/s11269-008-9293-1