Prediction of littoral drift with Adaptive Neuro-Fuzzy Inference System

Annals of Warsaw University of Life Sciences – SGGW
Land Reclamation No 42 (1), 2010: 159–167
(Ann. Warsaw Univ. of Life Sci. – SGGW, Land Reclam. 42 (1), 2010)

Prediction of littoral drift with Adaptive Neuro-Fuzzy Inference System

MASUMEH SIADATI SABET1, MEHDI ABBASZADEH NASERI2, HOSEIN SIADATI SABET3
1Department of Water Resource Engineering, Bananoor Gil Company, Iran
2Department of Electrical Engineering, Karaj Islamic Azad University, Iran
3Department of Civil Engineering, Bananoor Gil Company, Iran

Abstract: The amount of sand moving parallel to a coastline forms a prerequisite for many harbor design projects. Such information is currently obtained through various empirical formulae. Despite so many works in the past, an accurate and reliable estimation of the rate of sand drift has still remained a problem. It is a non-linear process and can be described by chaotic time-series. The current study addresses this issue through the use of Adaptive Neuro-Fuzzy Inference System (ANFIS). ANFIS is about taking an initial fuzzy inference system (FIS) and tuning it with a back propagation algorithm based on the collection of input-output data. ANFIS was developed to predict the sand drift from a variety of causative variables. The structure and algorithm of ANFIS for predicting the rate of sand drift is described. The Adaptive Neuro-Fuzzy Inference System was validated by confi rming its consistency with a database of specifi ed physical process.

Key words: littoral sand drift, Adaptive Neuro-Fuzzy Inference System, validation

Streszczenie: Ocena dryfu morskiego z wykorzystaniem systemu ANFIS (Adaptive Neuro-Fuzzy Inference System). W artykule przedstawiono adaptację systemu ANFIS do oceny wielkości dryfu fal piaskowych poruszających się wzdłuż wybrzeża morskiego. Pomimo wielu informacji o charakterze ilościowym oraz jakościowym zebranych w badaniach terenowych oraz opracowanych wzorów empirycznych opisujących analizowane zjawisko, autorzy widzą potrzebę stosowania symulacji zjawiska za pomocą metod numerycznych. Takie możliwości daje omówiony w pracy system ANFIS.

Please use the following format to cite the selected article:
MASUMEH SIADATI SABET, MEHDI ABBASZADEH NASERI, HOSEIN SIADATI SABET. Prediction of littoral drift with Adaptive Neuro-Fuzzy Inference System. Annals of Warsaw University of Life Sciences – SGGW. Land Reclamation No 42 (1), 2010: 159–167

Authors’ addresses:
Mehdi Abbaszadeh Naseri
ICS co. Shahinvila – Ghalam – Sahebzaman No 20
3193837748 Karaj Iran
Islamic Republic of Iran
e-mail: abbaszadeh.n@gmail.com

MASUMEH SIADATI SABET, MEHDI ABBASZADEH NASERI, HOSEIN SIADATI SABET. Prediction of littoral drift with Adaptive Neuro-Fuzzy Inference System

DOI 10.2478/v10060-008-0074-6