The objective of this paper is to use an artificial neural network (ANN) model to train the output of a third generation wave model to better forecast the significant wave heights from buoy data.
探讨将人工神经网络技术和传统的数值模式相结合,以期得到一个更有效的海浪预报方法。
The results estimated from NASA/JPL AIRSAR C-band polarimetric SAR data show that the ocean wavelength, wave direction and significant wave height are in agreement with buoy measurements.
利用机载SAR取代真实孔径雷达进行海浪反演,获得了与浮标一致的结果。
The time histories of ground responses and wave motions are presented, and it was found that significant wave propagations are generated when Mach number of moving load approaches or exceeds 1.0.
The relationship between local mean wind speeds and swell significant wave heights for long period has quantitatively estimated from the superposition equation of energy.
并从能量叠加平衡方程,近似定量估计出大洋中长历时涌浪有效波高与局地平均风速的关系。
It is shown that phase space flux is growing continually along with significant wave height and the safe basin of ships is decreasing rapidly.
研究表明:随有义波高增大,相空间转移率不断增大,船舶航行的安全域迅速减小。
As the significant wave height rises, the area of the safe basin reduces and is no longer continuous, and the safe area and the capsizing area are interlaced.