Prediction of Short-Term Operational Water Levels Using an Adaptive Neuro-Fuzzy Inference System

Journal of Waterway, Port, Coastal and Ocean Engineering

Volumn 137, Issue 6, 2011, Pages 344-354

  Shiri, Jalal ^a   Makarynskyy, Oleg ^b   Kisi, Ozgur ^c   Dierickx, Willy ^d   Fard, Ahmad Fakheri ^a  

^a UNIVERSITY OF TABRIZ   (Iran)

^b URS Australia   (Australia)

^c ERCIYES UNIVERSITY   (Turkey)

^d NONE   (Belgium)

Author keywords

Artificial neural network; Hillarys Boat Harbour; Regression; Sea level prediction

Indexed keywords

BOATS; FORECASTING; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; NEURAL NETWORKS; PORTS AND HARBORS; SEA LEVEL; TIDE GAGES; WATER LEVELS;

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; AUTO REGRESSIVE MODELS; COASTAL APPLICATIONS; HILLARYS BOAT HARBOUR; MODEL ACCURACY; REGRESSION; SEA LEVEL VARIATIONS; WESTERN AUSTRALIA;

FUZZY INFERENCE;

ACCURACY ASSESSMENT; ARTIFICIAL NEURAL NETWORK; DATA SET; FUZZY MATHEMATICS; NUMERICAL MODEL; REGRESSION ANALYSIS; SEA LEVEL; WATER LEVEL;

AUSTRALIA; WESTERN AUSTRALIA;

EID: 83755182713     PISSN: 0733950X     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)WW.1943-5460.0000097     Document Type: Article

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