Ruchi Kalra

TL;DR: In this paper, an Artificial Neural Network (ANN) of Radial Basis Function (RBF) and feed-forward back-propagation (FFBP) was used to obtain significant wave heights at a specified coastal site from their values gathered by a satellite at deeper offshore locations.

TL;DR: In this paper, the problem of restoring missing wave heights is attempted using one of the latest soft computing tools, namely, Genetic Programming (GP), and the performance of GP was judged in terms of the error statistics of bias, root mean square error, correlation coefficient and scatter index.

TL;DR: An approach based on the radial basis function (RBF) type of artificial neural networks to map remote-sensed deep-water waves with the coastal waves to highlight importance of innovative approaches to calibrate a network on the basis of a given data set.

TL;DR: In this paper, a third generation wave prediction model (WAM) suitably modified for the Indian sea was used to simulate the sea state during typical monsoon months of July 1987,88 and 89.

TL;DR: In this article, an artificial neural network (ANN) approach was proposed to project information on wind speed and waves collected by the TOPEX satellite at deeper locations to a specified coastal site, where the observations of significant wave heights, average wave period and wind speed were used to estimate corresponding values of these three parameters at the coastal site of interest.