An artificial neural network model for flood simulation using GIS: Johor River Basin, Malaysia

Environmental Earth Sciences

Volumn 67, Issue 1, 2012, Pages 251-264

  Kia, Masoud Bakhtyari ^a   Pirasteh, Saied ^b   Pradhan, Biswajeet ^a   Mahmud, Ahmad Rodzi ^a   Sulaiman, Wan Nor Azmin ^a   Moradi, Abbas ^a  

^a UNIVERSITY PUTRA MALAYSIA   (Malaysia)

^b ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

Flood modeling; GIS; Johor; Malaysia; Neural network; Remote sensing; Spatial modeling

Indexed keywords

A-COEFFICIENT; ARTIFICIAL NEURAL NETWORK MODELS; DECISION MAKERS; ENVIRONMENTAL CONDITIONS; FIELD SURVEYS; FLOOD MODELING; FLOOD MODELS; FLOOD SIMULATION; FLOW ACCUMULATION; JOHOR; MALAYSIA; NATIONAL GOVERNMENTS; NATURAL HAZARD; OBJECTIVE WEIGHT; REMOTE SENSING DATA; RIVER BASINS; ROOT MEAN SQUARE ERRORS; RUNOFF DATA; SPATIAL MODELING; SUM SQUARED ERROR; THEMATIC LAYERS; VERIFICATION RESULTS;

MATLAB; MEAN SQUARE ERROR; NEURAL NETWORKS; RAIN; REMOTE SENSING; WATER LEVELS; WATERSHEDS;

GEOGRAPHIC INFORMATION SYSTEMS;

ARTIFICIAL NEURAL NETWORK; DATA MINING; DECISION MAKING; FLOOD CONTROL; FLOODING; GIS; HYDROLOGICAL MODELING; NATURAL HAZARD; NUMERICAL MODEL; RAINFALL-RUNOFF MODELING; REMOTE SENSING; STATE ROLE;

JOHOR; MALAYSIA; WEST MALAYSIA;

EID: 84865760441     PISSN: 18666280     EISSN: 18666299     Source Type: Journal    
DOI: 10.1007/s12665-011-1504-z     Document Type: Article

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