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DOI:​10.1016/j.cageo.2012.09.015
Corpus ID: 6091091
Neuro-fuzzy and neural network techniques for forecasting sea level in Darwin Harbor, Australia
S. Karimi, Ö. Kisi, +1 author O. Makarynskyy
Published 2013
Mathematics, Computer Science

Comput. Geosci.
Accurate predictions of sea level with different forecast horizons are important for coastal and ocean engineering applications, as well as in land drainage and reclamation studies. The methodology… Expand
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83 Citations
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Adaptive neuro fuzzy inference system
Artificial neural network
Levenberg–Marquardt algorithm
Gradient descent
Coefficient of determination
Conjugate gradient method
Neuro-fuzzy
Learning to rank
Darwin
Mean squared error
Inference engine
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The accuracy of three different data-driven methods, namely, Gene Expression Programming (GEP), Adaptive Neuro-Fuzzy Inference System (ANFIS) and Artificial Neural Networks (ANN), is investigated for… Expand
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Recent researches have shown that neural networks are more effective in modelling and prediction. The coastal communities at large would greatly benefit from such predict sea level as well,… Expand
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Abstract Knowledge of tide level is essential for explorations, safe navigation of ships in harbour, disposal of sediments and its movements, environmental observations and in many more coastal… Expand
Artificial neural network technique for modeling of groundwaterlevel in Langat Basin, Malaysia
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Forecasts marine weather on Java sea using hybrid methods: TS-ANFIS
Deasy Alfiah Adyanti, Ahmad Hanif Asyhar, D. Novitasari, Ahmad Lubab, M. Hafiyusholeh
Environmental Science
2017 4th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)
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Indonesia is an archipelago. Consequently, the majorities are working around the sea such as a fisherman. While the number of activities at sea are increasing more accident occurred are rising. This… Expand
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Wavelet and ANFIS Combination Model for Groundwater Level Forecasting
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The reliability and accuracy for groundwater level predicting is significant with regard to water resourcesmanagement. In the current study, a wavelet transform-adaptive neuro-fuzzy inference system… Expand
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Mean sea level (MSL) has been used as a vertical datum for geodetic levelling and mapping in most countries all over the world. This is because the MSL approximates the geoid and serves as a realist… Expand
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MODELLING TIDE PREDICTION USING LINEAR MODEL AND ADAPTIVE NEURO FUZZY INFERENCE SYSTEM ( ANFIS ) IN SEMARANG , INDONESIA
A. Prahutama, Mustafid
2016
Semarang is an administrative city in Central Java province that is inevitably suffer from tidal flooding phenomenon. Tidal flooding is caused by the rising of sea level. Forecasting methods are… Expand
Accuracy Enhancement for Forecasting Water Levels of Reservoirs and River Streams Using a Multiple-Input-Pattern Fuzzification Approach
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Medicine, Computer Science
TheScientificWorldJournal
2014
TLDR
The objective of this study is to define the different ANFIS model by applying different types of MFs for each type of input to forecast the water level in two case studies, the Klang Gates Dam and Rantau Panjang station on the Johor river in Malaysia. Expand
14 Citations
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