神经系统的信号传递是学习、记忆、感觉、运动等各种脑正常功能的基础，因此它的理论也是神经精神病理学的基础。

The signal propagation through nerve system is the basis of studying, memory, sense, movement, so its theory is also the basis of neuropsychosis.

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以人工神经网络的前馈型网络为基础结构，基于反向传播算法进行学习和训练来拟和证券价格指数的运动趋势。

In this model, back propagation algorithm based on forward networks was conducted to learn information of historical data and to train the network weights.

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本文在神经网络直接控制船舶运动控制基础上，引入闭环增益成形算法构成闭环控制，以提高系统对环境干扰和过程参数摄动的鲁棒性。

But the robust performance is improved obviously when the closed loop gain shaping control algorithm is introduced into the ship motion system on the basis of neural network control in the thesis.

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