Bootstrap based artificial neural network (BANN) analysis for hierarchical prediction of monthly runoff in Upper Damodar Valley Catchment

Journal of Hydrology

Volumn 374, Issue 3-4, 2009, Pages 209-222

  Sharma, S K ^a   Tiwari, K N ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Bootstrapping; Microwatersheds; Monthly rainfall; Monthly runoff; Neural networks; Principal component analysis

Indexed keywords

ANNUAL RUNOFF; APPARENT DENSITY; AREA RATIOS; ARTIFICIAL NEURAL NETWORK; BIFURCATION RATIO; BOOTSTRAPPING; CATCHMENT AREA; CORRELATION COEFFICIENT; DATA REDUNDANCY; DRAINAGE AREA; ELONGATION RATIO; FINE SAND; INPUT VARIABLES; KEY ELEMENTS; MEAN ABSOLUTE ERROR; MICROWATERSHEDS; MONTHLY RAINFALL; MONTHLY RUNOFF; NETWORK INDICES; NORMALIZED DIFFERENCE VEGETATION INDEX; ORGANIC MATTER CONTENT; ROOT MEAN SQUARE ERRORS;

BACKPROPAGATION; BIFURCATION (MATHEMATICS); CATCHMENTS; GEOMORPHOLOGY; LANDFORMS; MOBILE TELECOMMUNICATION SYSTEMS; NEURAL NETWORKS; ORGANIC COMPOUNDS; RUNOFF; SOILS; VEGETATION; WATER CONSERVATION; WATER MANAGEMENT; WATERSHEDS;

PRINCIPAL COMPONENT ANALYSIS;

ARTIFICIAL NEURAL NETWORK; BOOTSTRAPPING; CATCHMENT; DRAINAGE; FEASIBILITY STUDY; HIERARCHICAL SYSTEM; PREDICTION; PRINCIPAL COMPONENT ANALYSIS; RAINFALL; RUNOFF; VALLEY; VEGETATION INDEX; WATERSHED;

ASIA; DAMODAR VALLEY; EURASIA; INDIA; SOUTH ASIA;

EID: 68349123741     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2009.06.003     Document Type: Article

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