Paper Title:
Application of Artificial Neural Network Model Based on Improved PSO in Water Supply Systems
  Abstract

Parameter calibration, data collection and simulation to control element were used to improve the accuracy of microscopic model. In order to overcome the shortage of macroscopic model, theoretical and empirical equation was adopted. The artificial neural network based on PSO method was introduced to improve simulation ability of water distribution system model from microscopic model and macroscopic model. There are two hidden layers with a maximum of 64 nodes per layer in the model. The Particle Swarm Optimization (PSO) algorithm is implemented to optimize the node numbers of the hidden layers in the model. The study indicates that the artificial neural network connecting with improved PSO method is an attractive alternative to the conventional regression analysis method in modeling water distribution systems.

  Info
Periodical
Edited by
Yanwen Wu
Pages
609-613
DOI
10.4028/www.scientific.net/AMR.267.609
Citation
H. X. Wang, W. X. Guo, "Application of Artificial Neural Network Model Based on Improved PSO in Water Supply Systems", Advanced Materials Research, Vol. 267, pp. 609-613, 2011
Online since
June 2011
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