A comparison of soft computing methods for the prediction of wave height parameters

R Tur, S Yontem - … -Based Engineering and …, 2021 - … journals.publicknowledgeproject.org
In the previous studies on the prediction of wave height parameters, only the significant
wave height has been considered as the unknown parameter to be predicted. However, the …

Artificial neural networks based on principal component analysis, fuzzy systems and fuzzy neural networks for preliminary design of rubble mound breakwaters

CE Balas, ML Koç, R Tür - Applied Ocean Research, 2010 - Elsevier
The new artificial intelligence models proposed for the preliminary design of rubble mound
breakwaters consist of (1) multi layer feed forward artificial neural networks,(2) hybrid …

Genetic algorithm based support vector machine regression in predicting wave transmission of horizontally interlaced multi-layer moored floating pipe breakwater

SG Patil, S Mandal, AV Hegde - Advances in Engineering Software, 2012 - Elsevier
Planning and design of coastal protection works like floating pipe breakwater require
information about the performance characteristics of the structure in reducing the wave …

Neuro-fuzzy based approach for wave transmission prediction of horizontally interlaced multilayer moored floating pipe breakwater

SG Patil, S Mandal, AV Hegde, S Alavandar - Ocean Engineering, 2011 - Elsevier
The ocean wave system in nature is very complicated and physical model studies on floating
breakwaters are expensive and time consuming. Till now, there has not been available a …

Genetic algorithms based logic-driven fuzzy neural networks for stability assessment of rubble-mound breakwaters

ML Koç, CE Balas - Applied Ocean Research, 2012 - Elsevier
This study focuses on the further development of fuzzy neural network ('FNN') models for the
prediction of stability numbers for the design of rubble mound breakwaters. It introduces two …

[PDF][PDF] Application of artificial neural network in fixed offshore structures

MA Uddin, M Jameel, HA Razak - 2015 - academia.edu
Several types of offshore structures are in use for oil and gas exploration due to global
energy demand. Fixed types (jacket and gravity) offshore structures are economically viable …

Application of Neural Networks in coastal engineering-An overview

S Mandal, SG Patil, YR Manjunatha, AV Hegde - 2008 - idr.l4.nitk.ac.in
Artificial Neural Network (ANN) is being applied to solve a wide variety of coastal/ocean
engineering problems. In practical terms ANNs are non-linear modeling tools and they can …

Stability Analysis of Emerged Seaside Perforated Quarter Circle Breakwater Using Soft Computing Techniques

S Madhusoodhanan, S Rao - … on Intelligent Systems: Proceedings of CIS …, 2022 - Springer
Breakwaters are constructed to address a variety of coastal requirements ranging from
maintaining tranquility conditions for a port or harbor area to prevent coastal recession …

Prediction of Hydrodynamic Coefficients of Stratified Porous Structure Using Artificial Neural Network (ANN)

A Gupta, K Shilna, D Karmakar - … Conference on Advances in Data-driven …, 2022 - Springer
The breakwater is designed to offer tranquility in the harbor to protect the offshore facilities
and also to prevent coastal erosion. The use of soft computing approaches in coastal …

Belirgin Dalga Yüksekliğinin (Significant Wave Height= Hs) Bulanık Sinir Ağları (ANFIS) ile Tahmini

R Tür - Mehmet Akif Ersoy Üniversitesi Fen Bilimleri Enstitüsü …, 2016 - dergipark.org.tr
Rüzgar etkenli dalgalar kıyı planlaması ve kıyı yapılarının tasarımında büyük rol oynadığı için
doğru tahmin edilme-lidir. Tatmin edici bir tahmin, gerçek değerleri yansıtan yüksek …