将改进算法用于BP和FIR神经网络，推导参数的更新方式。
Utilizing improved algorithm in BP and FIR neural networks, the update forms of parameters are deduced.
本文推导了采用不同孔径参数的实验结果，以及波前斜率的功率谱密度。
The experimental results of the different aperture parameters and the power spectral density of wavefront slope are derived in the paper.
采用邻域传播的思想，为每个水结点增加一个速度参数，推导出水面受到扰动后，水波的演变公式。
Increasing a speed parameter for each water node, we adopt the idea of neighboring regions spread to derivate the evolution formula of water wave with disturbance.
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