Based on neural network of capacitive pressure sensor nonlinear correction.
基于神经网络的电容式压力传感器非线性校正。
The structures approximation analysis technology is studied based on neural network.
对基于神经网络的结构近似分析技术进行了研究。
An inverse controller based on neural network for single inverted pendulum is proposed.
给出了单级倒立摆的一种神经网络逆模控制方案。
This paper introduces an improved method for image KL transform based on neural networks.
本文提出了一种基于神经网络的图像KL变换的改进方法。
A simple adaptive control scheme for a yacht based on neural networks has been described.
本文描述了一个简单的基于神经网络的小型帆船自适应舵的控制方案。
A new robot model reference adaptive control method based on neural networks is presented.
提出一种新的基于神经网络的机器人模型参考自适应控制方法。
There are some shortcomings for the conventional image KL transforms based on neural networks.
传统的基于神经网络的图像KL变换方法存在一些不足。
Software based on neural network(NN) to compensate machine tools therm al deformation is studied.
研究了以神经网络（NN）为模型的软件补偿不同机床热误差。
Furthermore, fault diagnosis method for controlled rectifier circuit based on neural network is explored.
此外，对基于神经网络的可控整流电路故障诊断方法进行了探索。
In this paper, neural network is studied and a fault diagnosis method based on neural network is presented.
本文通过对神经网络的研究，提出了基于神经网络的故障诊断方法。
In this paper a new method based on neural networks is proposed for aeroengine adaptive real time modeling.
提出了一种新的基于神经网络的发动机自适应实时模型的建模方法。
So the research on intelligent methods which are based on neural network and fuzzy logic have become a focus today.
因此，基于神经网络、模糊逻辑等智能计算的板形测控方法已经成为研究的热点。
Aim To construct a new time-series forecasting model based on neural network with the capability of noise immunity.
目的建立一种新的具有抗噪声能力的神经网络时间序列预测模型。
The method of fuzzy classifying of collision states between ships based on neural network is proposed in this paper.
本文提出一种采用神经网络技术实现船舶间碰撞态势模糊分类的方法。
First, the new scheme of a lossless data compression based on neural network is given by using non-statistical method.
本文首先采用非统计的方法给出了基于神经网络的无损数据压缩新方案。
Finally, We designed a pseudo experiment to talk about the linear time series analysis based on neural networks theory.
最后，设计模拟实验，探讨有关神经网络的线性时间序列预测方面的问题，得出结论。
In this paper, flat control system based on neural network for thin gauge high speed roll casting process is introduced.
为此，作者研究一种基于人工神经网络技术的超薄快速铸轧过程板形控制方案。
The arithmetic of PID control based on neural network can obtain small speed overshoot and strong anti-interference feature.
在抗干扰特性方面，基于神经网络的PID控制算法有较小的波动，而且调节时间较短；
The paper presents a method of pose-varied face recognition based on neural network and hierarchical support vector machines.
提出了一种基于神经网络和层次支持向量机的多姿态人脸识别方法。
The theory of identification model based on neural networks(NN)is to research into its capability of nonlinear approximation.
神经网络的非线性逼近能力的研究是神经网络成为辨识模型的理论基础。
This paper puts forward a model of discovering and forecasting price trend in market, based on neural networks BP algorithms.
提出了一种利用神经网络BP算法模型于发现和预测商业市场价格变化趋势的模型。
The spatial information of the image and evidence theory is applied to classification of remote sensing image based on neural networks.
把影像的空间信息融入分类决策，提出了一种基于证据理论与神经网络的遥感影像分类方法。
Feature selection and input dimension reduction are of Paramount im-portance to transient stability assessment based on neural networks.
输入特征选择和输入空间降维是基于神经网络暂态稳定评估的首要问题。
A plan of model reference adaptive tracking control for nonlinear systems is introduced based on neural network dynamic inversion (NNDI).
基于神经网络动态逆方法，给出了一种非线性模型参考自适应跟踪控制方案。
The expert system model based on neural network ensembles is presented. A construction algorithm of the neural network ensembles is given.
提出一种基于神经网络集成的专家系统模型，并给出神经网络集成的构造算法。
A control method based on neural network for pulse plating power is presented, and a mathematical model of the pulse transformer is established.
提出了一种用于脉冲电镀电源的神经网络控制器，并对脉冲变压器建立了数学模型。
Inverse system method for nonlinear control based on neural networks was employed to solve the nonlinearity of the pneumatic artificial muscles.
运用非线性控制的逆系统方法，提出了一种基于神经网络的人工肌非线性控制方案。
In this paper, the approaches for recognizing distribution of random data are discussed, and a new approach based on neural network is presented.
本文分析了随机数据分布的识别方法，并提出了基于神经网络的随机数据分布的识别方法。
In this paper, the approaches for recognizing distribution of random data are discussed, and a new approach based on neural network is presented.
本文分析了随机数据分布的识别方法，并提出了基于神经网络的随机数据分布的识别方法。
应用推荐