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Physical geography / Hanwella / Hydrological transport model / Kalu River / Stream gauge / Ratnapura / Drainage basin / Artificial neural network / Neural network / Hydrology / Water / Earth


Document Date: 2013-09-03 00:58:11

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File Size: 1,23 MB

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City

Irrigation / Colombo / /

Company

Yatiyantota / Radial Basis Function Networks / Pearson / Neural Networks / Multilayer Networks / Methodology Radial Basis Function Neutral Networks / Radial Basis Function Type Artificial Neural Networks / /

Country

Sri Lanka / Japan / Canada / /

Event

Natural Disaster / /

Facility

station Table / station Number / Kelani River catchment / /

IndustryTerm

supervised algorithm / flood warning systems / river systems / basis function network / model applications / vulnerable river systems / basis function networks / /

NaturalFeature

Ratnapura river / Sri Lankan rivers / Kelani River / Kalani River / Sri Pada Mountain / Daily River / Areas Two river / Hanwella river / Kalu River / Rathnapura river / /

Organization

Irrigation Department / International Centre for Water Hazard and Risk Management / Ministry of Irrigation / Department of Meteorology / Ministry of Irrigation and Water Resources / /

Person

Uda Maliboda / A. W. Jayawardena / /

Position

supervisor / Training and Research Advisor / Research Advisor / model / and therefore can be kept constant / MEE09208 Supervisor / Engineer / Department of Irrigation / /

ProgrammingLanguage

R / /

ProvinceOrState

Ontario / /

Technology

using K-means clustering algorithm / Simulation / /

SocialTag