该文提出一种基于对角递归神经网络的内模控制系统，并以跳汰生产过程床层松散状况为对象进行了研究。

This paper proposes an internal model control system based on recurrent neural network, and considers jigger layer loose condition as research object.

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通过筛板周期地鼓入上升水流，使床层升起松散，接着水流下降(或停止上升)。

Upward flow is injected via screen plate periodically, allowing the lift of bed layer to be loose and flow to drop (or stop rising).

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研究了上升初期脉动水流的速度和加速度特性及其对分选的影响，为研究不同风水操作制度对床层松散状况的影响提供了理论依据。

The character of velocity and acceleration of pulsated-water during the upward period and their influence on the jigging separation has been studied.

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