Comparative study of ANNs versus parametric methods in rainfall frequency analysis

Journal of Hydrologic Engineering

Volumn 14, Issue 2, 2009, Pages 172-184

  Valeo, Caterina ^a   He, Jianxun ^a  

^a UNIVERSITY OF CALGARY   (Canada)

Author keywords

Estimation; Frequency analysis; Neural networks; Parameters; Rainfall

Indexed keywords

BACKPROPAGATION; ESTIMATION; FUZZY LOGIC; MAXIMUM LIKELIHOOD ESTIMATION; MONTE CARLO METHODS; NEURAL NETWORKS; PROBABILITY DISTRIBUTIONS; RAIN; WATER ANALYSIS; WATER SUPPLY;

ANNUAL MAXIMUM; COMPARATIVE STUDIES; DAILY RAINFALL; ENGINEERING DESIGNS; ESTIMATION PERFORMANCE; FREQUENCY ANALYSIS; FREQUENCY CURVE; MONTE CARLO SIMULATION (MCS); NETWORK TECHNIQUES; PARAMETERS; QUANTILE ESTIMATION; RAINFALL; RAINFALL FREQUENCY ANALYSIS; SAMPLE SIZES; WATER INFRASTRUCTURE;

FREQUENCY ESTIMATION;

ARTIFICIAL NEURAL NETWORK; COMPUTER SIMULATION; ESTIMATION METHOD; FLOOD; FUZZY MATHEMATICS; HYDROLOGICAL MODELING; MONTE CARLO ANALYSIS; PRECIPITATION ASSESSMENT; PROBABILITY;

EID: 58549096521     PISSN: 10840699     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)1084-0699(2009)14:2(172)     Document Type: Article

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