... kernel function engineering ABSTRACT: In this paper, we propose a least square support vector machine (LSSVM) model to predict ocean wave elevations in a random sea state. The frequency and time domain characteristics of historical wave data are both considered in the proposed model. The wave...

... neural network significant wave height wind speed deep learning prediction artificial intelligence forecasting wave height machine learning kernel function observed wave height lstm model predicted wave height height prediction correlation coefficient accuracy forecasting coastal...

... prediction model accuracy optimum trim angle kernel function random forest model average draft total resistance coefficient Proceedings of the Thirty-second (2022) International Ocean and Polar Engineering Conference Shanghai, China, June 5 10, 2022 Copyright © 2022 by the International Society...

... by magnifying vibration amplitudes. upstream oil & gas rms flow control coefficient machine learning flow pattern cylinder kernel function regression simulation separation point control cylinder artificial intelligence circular cylinder relative angle parametric space gaussian process...

... using quintic spline kernel functions. We adopt the inter-particle potential force model with a potential coefficient as a surface tension model. The GPU-implementation consists of the search for neighboring particles in the locally uniform grid cell using hash function. Numerical results demonstrate...

... algorithm renewable energy foreman formulation kernel function criterion gaussian process ssgp harmonic analysis ocean energy frequency computation tidal constituent confidence interval AMachine Learning Approach to the Prediction of Tidal Currents. Dripta Sarkar, Michael Osborne, and Thomas...

... Abstract In this paper, we present the application of the particle-based simulation to complicated fluid flow problem with free surfaces. The particle approach is based on the SPH (Smoothed Particle Hydrodynamics) method using hyperbolic-type kernel function. The hyperbolic-type kernel...

... background grid mp method simulation number density artificial intelligence water height baffled tank free surface kernel function tank numerical simulation liquified natural gas parallel mp method midstream oil & gas lng Parallel MPS Method for Three-Dimensional Liquid Sloshing Yuxin...

.... Meanwhile, related testing data has continued to accumulate. Therefore, the potential of applying CPT to liquefaction research has grown significantly (Roberston and Wride, 197; Roberston and Fear, 1996; Seed and Idriss, 1971). accuracy rate kernel function vector machine machine learning cpt...

...-type LNG tank is simulated based on Moving Particle Semi-Implicit (MPS) method, which is a meshless method. However, the traditional MPS method suffers from strong unphysical pressure oscillation. To overcome this, the present MPS employs some improvements, such as: nonsingular kernel function, mixed...

... colagrossi boundary sph simulation vector upstream oil & gas sph method calc particle kernel function tank particle hydrodynamic artificial intelligence fluid modeling simulation particle number experimental data state equation Paper No. 2006-YHK-03 Nam Simulation of Two-Dimensional...

... in contaminating the whole simulation. acceleration time history kernel function wedge fluid dynamics simulation formulation upstream oil & gas procedure test case free surface computation approximation international society experimental data offshore equation good agreement interface...

... geometry and idealized conditions, as close-formed solutions cannot be easily gained for complex conditions. node generalization prediction neural network matrix training pattern vibration grnn value 0 rbf network neuron kernel function trench screening seismic wave seismic wave...

... ABSTRACT: We have two methods to generate an irregular wave numerically. One is summation method by summing up regular waves, another is the convolution integral method by the linear system theory. In the later method, the kernel function and a white noise usually are used. where, We have...