Neural networks in optimal calibration of water distribution systems

Srinivasa Lingireddy, Lindell E. Ormsbee

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

29 Scopus citations


An optimization model based on genetic algorithms is applied for the optimal calibration of water distribution systems. The model uses a neural network for function evaluation in conjunction with a rigorous mathematical simulation model. An efficient training scheme, which greatly reduces the training period compared to the popular backpropagation scheme, is employed to increase the computational efficiency. For large water distribution systems, the use of neural networks in conjunction with a genetic optimization framework can increase the computational efficiency significantly.

Original languageEnglish
Title of host publicationArtificial Neural Networks for Civil Engineers
Subtitle of host publicationAdvanced Features and Applications
Number of pages24
StatePublished - 1998

ASJC Scopus subject areas

  • General Chemical Engineering
  • Strategy and Management


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