论文提出了一种新的基于互补遗传算子的前馈神经网络三阶段学习方法。该方法把神经网络的学习过程分为三个阶段。
A new mutual genetic operator based three stages feedforward neural network training method is proposed in this paper, which divides neural networks training procedure into three stages.
本文介绍了基于广角隐式有限差分单程波传播算子的起伏地表叠前深度偏移方法，并对SEG山前带推覆构造模型进行了检验。
The paper introduced the prestack depth migration from relief surface based on implicit wide-angle finite-difference one-way propagation operator and used SEG piedmont nappe structure model for test.
介绍一种能够适应介质速度横向变化的非稳态相移算子及其叠前深度偏移方法。
The paper introduces a prestack depth migration by nonstationary phase shift method suitable for laterally variable velocity.
介绍一种能够适应介质速度横向变化的非稳态相移算子及其叠前深度偏移方法。
The paper introduces a prestack depth migration by nonstationary phase shift method suitable for laterally variable velocity.
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