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Ranking of Sites for Installation of Hydropower Plant Using MLP Neural Network Trained with GA: A MADM Approach
Joint Authors
Khelchandra, Thongam
Singh, Kh. Manglem
Shimray, Benjamin A.
Mehta, R. K.
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-02-26
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Every energy system which we consider is an entity by itself, defined by parameters which are interrelated according to some physical laws.
In recent year tremendous importance is given in research on site selection in an imprecise environment.
In this context, decision making for the suitable location of power plant installation site is an issue of relevance.
Environmental impact assessment is often used as a legislative requirement in site selection for decades.
The purpose of this current work is to develop a model for decision makers to rank or classify various power plant projects according to multiple criteria attributes such as air quality, water quality, cost of energy delivery, ecological impact, natural hazard, and project duration.
The case study in the paper relates to the application of multilayer perceptron trained by genetic algorithm for ranking various power plant locations in India.
American Psychological Association (APA)
Shimray, Benjamin A.& Singh, Kh. Manglem& Khelchandra, Thongam& Mehta, R. K.. 2017. Ranking of Sites for Installation of Hydropower Plant Using MLP Neural Network Trained with GA: A MADM Approach. Computational Intelligence and Neuroscience،Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1140932
Modern Language Association (MLA)
Shimray, Benjamin A.…[et al.]. Ranking of Sites for Installation of Hydropower Plant Using MLP Neural Network Trained with GA: A MADM Approach. Computational Intelligence and Neuroscience No. 2017 (2017), pp.1-8.
https://search.emarefa.net/detail/BIM-1140932
American Medical Association (AMA)
Shimray, Benjamin A.& Singh, Kh. Manglem& Khelchandra, Thongam& Mehta, R. K.. Ranking of Sites for Installation of Hydropower Plant Using MLP Neural Network Trained with GA: A MADM Approach. Computational Intelligence and Neuroscience. 2017. Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1140932
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1140932