Inter-comparison of time series models of lake levels predicted by several modeling strategies

Journal of Hydrology

Volumn 511, Issue , 2014, Pages 530-545

  Khatibi, R ^a   Ghorbani, M A ^b   Naghipour, L ^b   Jothiprakash, V ^c   Fathima, T A ^c   Fazelifard, M H ^b  

^a Consultant Mathematical Modeller ^*  (United Kingdom)

^b UNIVERSITY OF TABRIZ   (Iran)

^c INDIAN INSTITUTE OF TECHNOLOGY BOMBAY   (India)

Author keywords

ARIMA; Chaos theory; Evolutionary methods; Lake water level prediction; Neural networks; Pluralism in modeling

Indexed keywords

ARIMA; AUTO-REGRESSIVE INTEGRATED MOVING AVERAGE; AVERAGE MUTUAL INFORMATION; EVOLUTIONARY METHOD; GENE EXPRESSION PROGRAMMING; LAKE WATER LEVEL; MULTIPLE LINEAR REGRESSIONS; PHYSICAL CHARACTERISTICS;

CHAOS THEORY; LAKES; LINEAR REGRESSION; NATURAL LANGUAGE PROCESSING SYSTEMS; NEURAL NETWORKS; TIME SERIES; TIME SERIES ANALYSIS; WATER LEVELS;

MODELS;

ARTIFICIAL NEURAL NETWORK; CHAOTIC DYNAMICS; DATA SET; HYDROLOGICAL MODELING; LAKE LEVEL; NUMERICAL MODEL; SEASONALITY; TIME SERIES ANALYSIS; WATER LEVEL;

EID: 84897661948     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2014.01.009     Document Type: Article

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