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Mathematical Problems in Engineering
Volume 2013, Article ID 812032, 7 pages
Research Article

A Multiagent Dynamic Assessment Approach for Water Quality Based on Improved Q-Learning Algorithm

1College of IOT Engineering, Hohai University, Changzhou 213022, China
2College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China
3Laboratory of Underwater Vehicles and Intelligent Systems, Shanghai Maritime University, Shanghai 200135, China

Received 30 March 2013; Revised 17 April 2013; Accepted 18 April 2013

Academic Editor: Guanghui Wen

Copyright © 2013 Jianjun Ni et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [4 citations]

The following is the list of published articles that have cited the current article.

  • Yunze Li, Ying Wang, Min Cong, and Haoxiang Lang, “Design and development of a water quality monitoring network and system,” 2017 IEEE International Conference on Industrial Technology (ICIT), pp. 912–916, . View at Publisher · View at Google Scholar
  • Elia Georgiana Dragomir, “Development of a multi-agent-based simulation system for air quality analysis,” Studies in Informatics and Control, vol. 23, no. 4, pp. 371–381, 2014. View at Publisher · View at Google Scholar
  • Borja Ponte, David de la Fuente, Jose Parreno, and Raul Pino, “Intelligent Decision Support System for Real-Time Water Demand Management,” International Journal Of Computational Intelligence Systems, vol. 9, no. 1, pp. 168–183, 2016. View at Publisher · View at Google Scholar
  • Peichao Gao, Zhao Liu, Gang Liu, Hongrui Zhao, and Xiaoxiao Xie, “Unified Metrics for Characterizing the Fractal Nature of Geographic Features,” Annals of the American Association of Geographers, pp. 1–17, 2017. View at Publisher · View at Google Scholar