The term “damage” in rubble mound breakwaters is usually related to the foremost failure
mode of this kind of coastal structures: their hydraulic instability. The characterization of the …

In recent years the Probabilistic Neural Network (PPN) has been used in a large number of
applications due to its simplicity and efficiency. PNN assigns the test data to the class with …

Applying quantitative models for forecasting and assisting investment decision making has
become more indispensable in business practices than ever before. Improving forecasting …

In the previous studies on the prediction of wave height parameters, only the significant
wave height has been considered as the unknown parameter to be predicted. However, the …

Wave measuring equipment are subject to malfunction that can be caused by various
reasons such as maintenance, navigation accidents, errors in communications and …

An important issue in designing the structures of rubble-mound breakwaters, is to estimate
the stability number of its armor block. Most of the traditional stability analysis methods are …

Predicting the stability of armor blocks of breakwaters and revetments is a very important
issue in coastal and ocean engineering. Recently, soft computing tools such as artificial …

Numerical models are valuable tools to provide information on wave-structure interaction
processes that are difficult to measure in a physical model. The current level of accuracy of …

The stability analysis of breakwaters is very important to have a safe and economic design of
these coastal protective structures and the damage level is one of the most important …

Most applications of machine learning (ML) algorithms to control chart pattern recognition
(CCPR) have focused on pattern detection and identification, rather than obtaining more …