“…Liang, Li, and Sun (2008) developed three Back-Propagation Neural Network models in order to improve the accuracy of prediction and supplement of tidal records. Pashova and Popova (2011) applied different Artificial Neural Networks (ANNs) (multilayer Feed-Forward (FF), Cascade-Feed-Forward (CFF), Feed-Forward Time-Delay (FFTD), Radial Basis Function (RBF), Generalized Regression (GR) neural networks and Multiple Linear regression (MLR) methods) for tidal prediction model at the town of Burgas in the western Bulgarian Black Sea coast during 1990-2003. Remya, Kumar, and Basu (2012 applied a preliminary empirical orthogonal function (EOF) analysis in order to compress the spatial variability into a few eigenmodes, so that Genetic Algorithm (GA) could be applied to the time series of the dominant principal components (PC).…”