Numerical Simulation and Prediction for Steep Water Gravity Waves of Arbitrary Uniform Depth using Artificial Neural Network

Nonlinear permanent progressive wave is one of the most important applicationsin water waves. In this study, analytic formulation of the steep water gravitywaves is presented. Abohadima and Isobe [1] showed that Cokelet solution [2] isthe most accurate among many other solutions. Due to the nonlinearity ofanalytic equations, the need to numeric simulation is raised up. In the currentpaper, consequence numerical models, using one of the artificial intelligencetechniques, are designed to simulate and then predict the non linear properties ofpermanent steep water waves. Artificial Neural Network (ANN), one of theartificial intelligence techniques, is introduced in the current paper to simulateand predict the wave celerity, momentum, energy and other wave integralproperties for any permanent waves in water of arbitrary uniform depth. The ANNresults presented in the current study showed that ANN technique, with lesseffort, is very efficiently capable of simulating and predicting the non linearproperties of permanent steep water waves.