本文研究一类非线性神经网络自适应控制系统，提出一种基于双误差——辨识误差和跟踪误差的新控制方案。

A class of nonlinear neural network adaptive control systems is studied and a new design concept based on double errors was proposed in this paper.

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按其主树突的分布图式，可将鸽峡核神经元分成三类：（1）单极神经元，（2）双极神经元和（3）多极神经元。

The impregnated isthmic neurones are categorized into three types based on their dendritic patterns: (1) monopolar neurones, (2) bipolar neurones and (3) multipolar neurones.

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提出一类基于基函数展开的双隐层过程神经元网络模型。

A class of process neural network model with two hidden-layer based on expansion of basis function is brought forward.

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