Paper Title:
Sedimentation Load Analysis Using ANN and GA
  Abstract

Artificial Neural Network (ANN) model is used to predict the suspended sediment load for the survey data collected on daily basis in the river Mahanadi. Genetic algorithm has been used to find the optimal level of process parameters such as water discharge and temperature for a minimum sedimentation load condition. Optimal level of process parameters obtained from the GA has been used in a trained neural network to obtain the sedimentation load condition. A comparative analysis is then made between GA and ANN for achieving minimum sedimentation load with the given process parameters.

  Info
Periodical
Chapter
Chapter 14: Modeling, Analysis, and Simulation of Manufacturing Processes
Edited by
Wu Fan
Pages
2693-2698
DOI
10.4028/www.scientific.net/AMM.110-116.2693
Citation
D. K. Ghose, P.C. Swain, S. S. Panda, "Sedimentation Load Analysis Using ANN and GA", Applied Mechanics and Materials, Vols. 110-116, pp. 2693-2698, 2012
Online since
October 2011
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Price
$32.00
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