Burst Detection Using an Artificial Immune Network in Water-Distribution Systems-Reference-Cited by-同舟云学术

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Burst Detection Using an Artificial Immune Network in Water-Distribution Systems

Published:2014-10 Issue:10 Volume:140 Page:04014027
ISSN:0733-9496
Container-title:Journal of Water Resources Planning and Management
language:en
Short-container-title:J. Water Resour. Plann. Manage.

Author:

Tao Tao¹,Huang Haidong²,Li Fei³,Xin Kunlun⁴

Affiliation:

1. Professor, College of Environmental Science and Engineering, Tongji Univ., Shanghai 200092, China (corresponding author).

2. Ph.D. Student, College of Environmental Science and Engineering, Tongji Univ., Shanghai 200092, China.

3. Master’s Student, College of Environmental Science and Engineering, Tongji Univ., Shanghai 200092, China.

4. Associate Professor, College of Environmental Science and Engineering, Tongji Univ., Shanghai 200092, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Management, Monitoring, Policy and Law,Water Science and Technology,Geography, Planning and Development,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29WR.1943-5452.0000405

Reference26 articles.

1. Leakage detection in a real distribution network using a SOM

2. An inverse approach for piping networks monitoring

3. Using neural networks to monitor piping systems

4. Dasgupta D. (1997). “Artificial neural network and artificial immune systems: Similarities and differences.” IEEE Int. Conf. Computational Cybernetics and Simulation New York 873–878.

5. Dasgupta D. (1998). “An artificial immune system as a multi-agent decision support system.” IEEE Int. Conf. on Systems Man and Cybernetics New York 3816–3820.

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