|
| next >> |
Journal description
All volumes of the corresponding journal
All issues of the corresponding volume
All articles of the corresponding issues
Details for article 1 of 10 found articles
| Title: |
A Computationally Efficient Technique for Source Identification Problems in Three-Dimensional Aquifer Systems Using Neural Networks and Simulated Annealing |
| Author: |
Rao, S. V. N. |
| Appeared in: |
Environmental forensics |
| Paging: | Volume 7 (2006) nr. 3 pages 233-240 |
| Year: |
2006-09-01 |
| Contents: |
A non-gradient-based simulation/optimization technique is presented for source identification problems involving discrete and continuous decision variables. In this approach an artificial neural network is used as surrogate simulator of an existing density-dependent flow and transport model and simulated annealing algorithm as the optimizer. The source location and its strength are determined explicitly in a three-dimensional aquifer system. The methodology is efficient and robust and reduces the computational time burden to be negligible. Although a single source is demonstrated in this study, the methodology can be extended to multiple sources and problems involving unknown aquifer parameters. |
| Publisher: |
Taylor & Francis |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 1 of 10 found articles
| next >> |