An Accurate Heave Signal Prediction Using Artificial Neural Network
Mohammed El-Diasty · International Journal of Multidisciplinary and Current Research · 2013
An accurate heave modeling is required for several applications, including hydrographic surveying.This paper proposes an adaptive heave signal modeling, which uses a neural network-based modelling.A recurrent neural network and three-layer feed forward neural network trained using the Levenberg-Marquardt learning algorithm is used for this purpose.Computational results with five different datasets of real time heave are provided to validate the effectiveness of the artificial neural network-based model.It is shown that the new neural network-based model give a reliable heave model with excellent performance.Also, a comparison is made between the developed artificial neural network models and the autoregressive models.It is shown that the new artificial neural network-based model give the best performance results (i.e., the mean square error MSE).