Daily stream flow forecasting using artificial neural networks (case study: the upper Bernam River basin)

Daily stream flow forecasting using artificial neural networks (case study: the upper Bernam River basin)

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Bibliographic Details
Main Author: Porhemmat, Mojtaba
Format: Thesis
Published: 2012
Subjects:
TA Engineering (General)
Civil engineering (General)
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id my-utm-ep.30700
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spelling my-utm-ep.307002020-08-26T08:27:19Z Daily stream flow forecasting using artificial neural networks (case study: the upper Bernam River basin) 2012 Porhemmat, Mojtaba TA Engineering (General). Civil engineering (General) 2012 Thesis http://eprints.utm.my/id/eprint/30700/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:81395?queryType=vitalDismax&query=Daily+stream+flow+forecasting+using+artificial+neural+networks masters Universiti Teknologi Malaysia, Faculty of Civil Engineering Faculty of Civil Engineering
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
topic TA Engineering (General)
Civil engineering (General)
spellingShingle TA Engineering (General)
Civil engineering (General)
Porhemmat, Mojtaba
Daily stream flow forecasting using artificial neural networks (case study: the upper Bernam River basin)
description
format Thesis
qualification_level Master's degree
author Porhemmat, Mojtaba
author_facet Porhemmat, Mojtaba
author_sort Porhemmat, Mojtaba
title Daily stream flow forecasting using artificial neural networks (case study: the upper Bernam River basin)
title_short Daily stream flow forecasting using artificial neural networks (case study: the upper Bernam River basin)
title_full Daily stream flow forecasting using artificial neural networks (case study: the upper Bernam River basin)
title_fullStr Daily stream flow forecasting using artificial neural networks (case study: the upper Bernam River basin)
title_full_unstemmed Daily stream flow forecasting using artificial neural networks (case study: the upper Bernam River basin)
title_sort daily stream flow forecasting using artificial neural networks (case study: the upper bernam river basin)
granting_institution Universiti Teknologi Malaysia, Faculty of Civil Engineering
granting_department Faculty of Civil Engineering
publishDate 2012
_version_ 1747815727091417088

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