Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/487498
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | Civil Engineering | |
dc.date.accessioned | 2023-05-31T09:32:48Z | - |
dc.date.available | 2023-05-31T09:32:48Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/487498 | - |
dc.description.abstract | Water resources related studies involve variables which are highly random and uncertain in nature Most hydrological variables exhibit a high degree of temporal and spatial variability These studies are very essential to the mankind for providing a warning of the extreme flood or drought conditions and help to optimize the operation of systems like reservoirs and power plants etc For better hydrological design we need proper modelling of the system using these variables Many approaches were | |
dc.format.extent | Not Available | |
dc.language | English | |
dc.relation | Not Available | |
dc.rights | self | |
dc.title | Fuzzy neural network modelling for hydrological studies | |
dc.title.alternative | Not available | |
dc.creator.researcher | Deka, Paresh Chandra | |
dc.subject.keyword | Engineering | |
dc.subject.keyword | Engineering and Technology | |
dc.subject.keyword | Engineering Civil | |
dc.description.note | Not Available | |
dc.contributor.guide | Chandramouli, V and Dutta, Anjan | |
dc.publisher.place | Guwahati | |
dc.publisher.university | Indian Institute of Technology Guwahati | |
dc.publisher.institution | DEPARTMENT OF CIVIL ENGINEERING | |
dc.date.registered | 1999 | |
dc.date.completed | 2003 | |
dc.date.awarded | 2003 | |
dc.format.dimensions | Not Available | |
dc.format.accompanyingmaterial | None | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | DEPARTMENT OF CIVIL ENGINEERING |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_fulltext.pdf | Attached File | 21.6 MB | Adobe PDF | View/Open |
04_abstract.pdf | 621.41 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 652.89 kB | Adobe PDF | View/Open |
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