Patil, S.G.Mandal, S.Hegde, A.V.Alavandar, S.2026-02-052011Ocean Engineering, 2011, 38, 1, pp. 186-196298018https://doi.org/10.1016/j.oceaneng.2010.10.009https://idr.nitk.ac.in/handle/123456789/27355The 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 simple mathematical model to predict the wave transmission through floating breakwaters by considering all the boundary conditions. This is due to complexity and vagueness associated with many of the governing variables and their effects on the performance of breakwater. In the present paper, Adaptive Neuro-Fuzzy Inference System (ANFIS), an implementation of a representative fuzzy inference system using a back-propagation neural network-like structure, with limited mathematical representation of the system, is developed. An ANFIS is trained on the data set obtained from experimental wave transmission of horizontally interlaced multilayer moored floating pipe breakwater using regular wave flume at Marine Structure Laboratory, National Institute of Technology Karnataka, Surathkal, India. Computer simulations conducted on this data shows the effectiveness of the approach in terms of statistical measures, such as correlation coefficient, root-mean-square error and scatter index. Influence of input parameters is assessed using the principal component analysis. Also results of ANFIS models are compared with that of artificial neural network models. © 2010 Elsevier Ltd. All rights reserved.Adaptive neuro-fuzzy inference systemANFISANFIS modelArtificial neural network modelsBack propagation neural networksCorrelation coefficientData setsFuzzy inference systemsHIMMFPBInput parameterKarnatakaMarine structuresMathematical representationsNeuro-FuzzyOcean wavesPhysical modelRegular wavesRoot-mean square errorsScatter indexStatistical measuresCoastal engineeringComputer simulationData flow analysisFloating breakwatersFuzzy inferenceFuzzy systemsHydraulic structuresMathematical modelsMultilayersNeural networksOffshore structuresPipePrincipal component analysisWater wavesWave propagationWave transmissionartificial neural networkback propagationboundary conditionbreakwaterfuzzy mathematicsnumerical modelocean waveprediction