Sedimentation Load Analysis Using ANN and GA

Dillip Kumar Ghose; P.C. Swain; Sudhansu Sekhar Panda

doi:10.4028/www.scientific.net/AMM.110-116.2693

Paper Titles

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An Interpretive Structural Modeling Approach for Analysis of Interactions among the Barriers in Reverse Logistics
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Three Dimension Finite Element Model for Neck-Spinning Process of Tube at Elevated Temperature
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 110-116Sedimentation Load Analysis Using ANN and GA

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.

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Periodical:

Applied Mechanics and Materials (Volumes 110-116)

Pages:

2693-2698

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.110-116.2693

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Online since:

October 2011

Authors:

Dillip Kumar Ghose, P.C. Swain, Sudhansu Sekhar Panda

Keywords:

Artificial Neural Network (ANN), Genetic Algorithm (GA), Suspended Sediment Load, Temperature, Water Discharge

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