Application of Artificial Neural Networks for the Estimation of Wave Parameters

G.S. Dwarakish*, K.V. LIJU**, AKHIL MUHAMMAD SALIM***, GAYATHRI K DEVI****, JUSTIN THOMAS*****, R. RAJEESH******
* Professor, Department of Applied Mechanics and Hydraulics, National Institute of Technology Karnataka, Surathkal, Mangalore, India.
**-***-****-*****-****** M.Tech Graduate, Department of Applied Mechanics and Hydraulics, National Institute of Technology Karnataka, Surathkal, Mangalore, India
Periodicity:December - February'2015
DOI : https://doi.org/10.26634/jcom.2.4.3331

Abstract

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.

Keywords

Neural Networks, Wave Forecasting, Correlation Coefficient, Correction.

How to Cite this Article?

Dwarakish, G.S., Liju, K.V., Salim, A.M., Devi, G.K., and Thomas, J. (2015). Application of Artificial Neural Networks for the Estimation of Wave Parameters. i-manager’s Journal on Computer Science, 2(4), 25-32. https://doi.org/10.26634/jcom.2.4.3331

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