Based on the analysis of pilot behavior character a nd control mode, the predictive control ANN (artificial neural network) model is established according to the theory of prediction-following.
在分析驾驶员行为特性和行为操纵的基础上，根据预测跟随理论，建立了驾驶员预测控制神经网络（ANN）模型；
This paper presented a neural network based technique to obtain fundamental waveform from a single phase half bridge inverter by square wave mode.
以方波模式运行的单相半桥逆变器为研究对象，提出了一种利用神经网络提取逆变器方波输出电压基波成份的新方法。
Considering the requirement of high performance of induction motor servo drive system, this paper designs such a system with a sliding-mode position controller based on double fuzzy neural network.
根据感应电动机伺服驱动系统高性能的要求，设计了一种基于双模糊神经网络的滑模控制的感应电动机伺服驱动系统。
The basic principle of BP network is introduced, the trouble diagnosis method based on neural network is researched. An usual trouble mode sample book for fan is established.
介绍了BP网络的基本原理，研究了基于神经网络的故障诊断方法，建立了风机常见故障模式样本。
Make use of available experimental data of LY12CZ aluminum alloy, a probabilistic neural network was developed to classify the maximum corrosion depth ranges based on the material failure mode.
运用LY12CZ的腐蚀实验数据，根据高强铝合金的失效模式（点蚀-晶间腐蚀-剥蚀），建立了对最大腐蚀深度分类的概率神经网络模型，输出结果与实验数据比较吻合。
In this paper, based on mode shape, the author put forward a new parameter-mode shape curvature ratio for detecting structure damages. And it is also the input vector of the neural network.
本文基于模态振型，提出一个新的用于结构损伤识别的参数——振型曲率比，并将之作为神经网络的输入向量。
To combine neural network theory with varying structure control theory, a neural-network-based varying structure sliding mode control scheme is presented.
结合神经网络理论与变结构控制理论，提出一种基于神经网络的变结构滑模控制方案。
Using MATLAB6.5 BP neural network toolbox, compiles the structural damage detection process with the input parameters based on the modal parameters of frequency and mode shape.
以MATLAB6.5BP神经网络工具箱为基础，编写了基于频率平方变化和振型模态分量为输入参数的BP神经网络结构损伤识别程序。
Based on Fuzzy Neural Network (FNN), an intelligent adaptive sliding-mode guidance law is presented.
在自适应滑模导引律的基础上，提出了一种基于模糊神经网络(FNN)的自适应滑模导引律。
A method of global sliding mode control was put forward for aeroengine with uncertainty and strong nonlinearity based on self-adaptive PSO neural network.
针对现代航空发动机是一个具有不确定性的强非线性系统，提出了一种基于自适应PSO网络整定的航空发动机全程滑模控制方法。
A method of global sliding mode control was put forward for aeroengine with uncertainty and strong nonlinearity based on self-adaptive PSO neural network.
针对现代航空发动机是一个具有不确定性的强非线性系统，提出了一种基于自适应PSO网络整定的航空发动机全程滑模控制方法。
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