Neuro-fuzzy and neural network techniques for forecasting sea level in Darwin Harbor, Australia

Computers and Geosciences

Volumn 52, Issue , 2013, Pages 50-59

  Karimi, Sepideh ^a   Kisi, Ozgur ^b   Shiri, Jalal ^a   Makarynskyy, Oleg ^c  

^a UNIVERSITY OF TABRIZ   (Iran)

^b CANIK BASARI UNIVERSITY   (Turkey)

^c URS Australia   (Australia)

Author keywords

Adaptive neuro fuzzy inference system; Artificial neural network; Auto regressive moving average; Darwin Harbor; Sea level prediction

Indexed keywords

ACCURATE PREDICTION; ADAPTIVE LEARNING RATES; ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; ANFIS MODEL; ARMA MODEL; AUSTRALIA; AUTOREGRESSIVE MOVING AVERAGE; COEFFICIENT OF DETERMINATION; CONJUGATE GRADIENT; DATA DRIVEN TECHNIQUE; ENGINEERING APPLICATIONS; GAUSSIAN MEMBERSHIP FUNCTION; GAUSSIANS; GRADIENT DESCENT; LAG TIME; LAND DRAINAGE; LEVENBERG-MARQUARDT; MATHEMATICAL DESCRIPTIONS; MULTI-LINEAR REGRESSION; NEURAL NETWORK TECHNIQUES; NEURO-FUZZY; PREDICTION INTERVAL; ROOT MEAN SQUARE ERRORS; TRIANGULAR MEMBERSHIP FUNCTIONS;

CONJUGATE GRADIENT METHOD; DATA HANDLING; DIGITAL STORAGE; FUZZY SYSTEMS; MEAN SQUARE ERROR; MEMBERSHIP FUNCTIONS; NEURAL NETWORKS; OCEAN ENGINEERING; OPTIMIZATION; SEA LEVEL; TRACKING (POSITION);

FORECASTING;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; FUZZY MATHEMATICS; GEOSTATISTICS; HARMONIC ANALYSIS; NUMERICAL MODEL; PREDICTION; REGRESSION ANALYSIS; SEA LEVEL CHANGE;

AUSTRALIA; DARWIN HARBOUR; NORTHERN TERRITORY;

EID: 84870216315     PISSN: 00983004     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cageo.2012.09.015     Document Type: Article

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