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.
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.
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.
在提取了水下目标信号的双谱特征的基础上，利用BP神经网络对五类水下目标信号的双谱特征进行分类，得到了较高的识别率。
Classifying five target signals underwater base on the bispectrum features through BP neural networks, the targets are identified properly with high efficiently.
在提取了水下目标信号的双谱特征的基础上，利用BP神经网络对五类水下目标信号的双谱特征进行分类，得到了较高的识别率。
Classifying five target signals underwater base on the bispectrum features through BP neural networks, the targets are identified properly with high efficiently.
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