Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/32139
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dc.coverage.spatialArtificial intelligence techniques for inflow forecasting and optimal operation of reservoir systemen_US
dc.date.accessioned2015-01-01T04:56:57Z-
dc.date.available2015-01-01T04:56:57Z-
dc.date.issued2015-01-01-
dc.identifier.urihttp://hdl.handle.net/10603/32139-
dc.description.abstractThough forecasting of river flow has received maximum attention newlinefrom engineers and researchers throughout the world yet it continues to be a newlinechallenging task owing to the complex process The need for timely and newlineaccurate stream flow forecasting is widely recognized all over the world newlineTraditional methods of relating the temporal and spatial history of newlineprecipitation to a corresponding streamflow discharge at a point of interest are newlinemany and varied The present study aims at developing an inflow forecast newlinemodel for Pilavakkal scheme consisting of two reservoirs namely Periyar and newlineKovilar located in southern part of Tamil Nadu India In the last one decade newlineor so Artificial Neural Network ANN has been widely applied and its newlineability to model complex phenomena is clearly demonstrated newline newlineen_US
dc.format.extentxxviii, 207p.en_US
dc.languageEnglishen_US
dc.relationp.186-203en_US
dc.rightsuniversityen_US
dc.titleArtificial intelligence techniques for inflow forecasting and optimal operation of reservoir systemen_US
dc.title.alternativeen_US
dc.creator.researcherVincent alias venkatesan Pen_US
dc.subject.keywordcivil engineeringen_US
dc.subject.keywordinflow forecastingen_US
dc.subject.keywordreservoir systemen_US
dc.description.noteReference p.186-203en_US
dc.contributor.guideAmbujam N Ken_US
dc.publisher.placeChennaien_US
dc.publisher.universityAnna Universityen_US
dc.publisher.institutionFaculty of Civil Engineeringen_US
dc.date.registeredn.d.en_US
dc.date.completed01/09/2005en_US
dc.date.awarded30/09/2005en_US
dc.format.dimensions23cmen_US
dc.format.accompanyingmaterialNoneen_US
dc.source.universityUniversityen_US
dc.type.degreePh.D.en_US
Appears in Departments:Faculty of Civil Engineering

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02_certificate.pdf5.68 kBAdobe PDFView/Open
03_abstract.pdf9.84 kBAdobe PDFView/Open
04_acknowledgement.pdf6.96 kBAdobe PDFView/Open
05_contents.pdf55.71 kBAdobe PDFView/Open
06_chapter 1.pdf62.76 kBAdobe PDFView/Open
07_chapter 2.pdf476.99 kBAdobe PDFView/Open
08_chapter 3.pdf851.92 kBAdobe PDFView/Open
09_chapter 4.pdf693.63 kBAdobe PDFView/Open
10_chapter 5.pdf318.86 kBAdobe PDFView/Open
11_chapter 6.pdf27.14 kBAdobe PDFView/Open
12_references.pdf51.68 kBAdobe PDFView/Open
13_publications.pdf11.53 kBAdobe PDFView/Open
14_vitae.pdf6.07 kBAdobe PDFView/Open


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