JCOM_V2_N4_RevP1 G.S. Dwarakish K.V. Liju Akhil Muhammad Salim Gayathri K. Devi Justin Thomas Journal on Computer Science 2347–6141 2 4 25 32 Neural Networks, Wave Forecasting, Correlation Coefficient, Correction Artificial Neural Network (ANN) is being used as a reliable data-oriented modeling technique for past two decades. They learn from examples, generalize and capture delicate functional relationships among the data even if the underlying relationships are unknown or hard to describe. It has the advantages over numerical and hydrodynamic model that it does not require any boundary conditions and excessive data for simulation. Thus ANNs are well suited for non linear real world problems whose solutions require knowledge that is difficult to specify but for which there are enough data or observations. ANNs are general and flexible functional forms than the traditional statistical methods. Extensive research has been carried out using ANN in and around coastal and ocean engineering field. This paper gives an overview of application of artificial neural network for the estimation of wave parameters. December 2014 - February 2015 Copyright © 2015 i-manager publications. All rights reserved. i-manager Publications http://www.imanagerpublications.com/Article.aspx?ArticleId=3331