This neural network pattern recognition can be applied to feature extraction, clustering analysis, edge detection, signal enhancement and noise suppression, data compression, such as various links.
这样神经网络可应用于模式识别的特征提取、聚类分析、边缘检测、信号增强以及噪声抑制、数据压缩等各个环节。
Based on self adaptive noise countervailing method and artificial neural network (ANN) theory, this paper proposes a new approach to the dynamic detecting harmonics.
基于自适应噪声对消技术及人工神经网络(ANN)理论，提出了一种谐波电流动态检测方法。
Based on Fuzzy Neural Network, the noise canceling problem of the nonlinear system was studied. A type of nonlinear adaptive noise controller was proposed.
基于模糊神经网络算法研究了非线性系统的噪声消除问题，设计了一类非线性自适应逆噪声消除控制器。
The HRR image at various look angles and ratios of signal to noise is recognized by Linear Interpolation Neural Network and the result is very satisfactory.
得到任意视角及可变信噪比下的一维距离高分辨率像，并用线性内差神经网络进行识别，得到了满意的结果。
Secondly, power line noise channel and multi-path channel optimization modeling techniques based on artificial neural network are proposed.
其次，提出了电力线噪声信道和多径信道的神经网络优化建模方法。
The proposed method has obvious advantages over other neural networks and median filter in filtering noise, and the precision of results are much higher.
实验结果表明，此方法在滤除噪声时具有一般神经网络和中值滤波器所没有的优点，精度明显提高。
Based on self adaptive noise countervailing method and artificial neural network (ANN) theory, an approach for harmonics detection and analysis is presented.
基于自适应噪声抵消方法和人工神经网络(ANN)理论，提出一种谐波电流检测分析方法。
The use of neural networks for designing a adaptive noise cancellation system is important theoretical significance and practical value.
利用神经网络来设计自适应噪声抵消系统具有重要的理论意义和实用价值。
Compared with the existing fusion method, the proposed neural data fusion method has an unbiased statistical property and does not require any prior knowledge about the noise covariance.
与已有的融合方法相比，文章提出的神经数据融合方法具有非偏倚的统计特性而且不需要关于噪声协方差的任何先验知识。
We examined whether cells from a neural stem cell line could replace cochlear cell types lost after exposure to intense noise.
我们观察了神经干细胞系细胞是否可以替代耳蜗内强噪声暴露后所致的细胞缺失。
Aiming at the traffic noise problem of Lhasa, the author USES artificial neural network theory and method to predict the equivalent consecutive sound level of traffic noise in Lhasa.
针对拉萨市道路交通噪声污染问题，运用人工神经网络理论和方法对拉萨市道路交通噪声的等效连续声级进行预测。
Using the adaptive noise canceling technology, this paper proposes a new detecting approach of harmonics and reactive currents based on neural networks.
将自适应噪声对消技术用于谐波和无功电流检测，提出了一种基于神经网络的自适应检测的新方法。
Applied BP neural network to recognize Numbers, and adopted a method of wipe off miscellaneous points to take out noise, and used a method of per pix feature extraction to extract feature vector.
应用BP神经网络对数字进行识别，其图像的预处理采用去除杂点方法去除噪声，使用逐像素特征提取方法进行特征向量的提取。
This paper presents a method of evaluating noise quality based on artificial neural network (ANN).
提出一种基于人工神经网络(ANN)的噪声品质评价方法。
In this paper, the authors study the detection of signals in non-Gaussian noise, and employ a multilayer perceptron neural network as a detector.
本文研究了非高斯噪声中信号的检测，采用多层感知器神经网络作为检测器。
The adaptive Fuzzy Neural Network is employed for adaptive noise cancellation.
讨论了基于自适应模糊神经网络的噪声抵消器的设计方法。
Using adaptive noise cancelling technology, an adaptive detecting approach of currents based on neural network for active power filter is proposed in this paper.
文章将自适应噪声对消技术用于有源滤波器的电流检测，提出了一种基于神经元网络的自适应检测方法。
The traditional neural network correction has a good adaptivity to the noise. But with a stronger low frequency space noise, the correction effect is very poor.
传统的神经网络非均匀性校正算法对噪声具有较好的自适应性，但当空间低频噪声较大时，校正效果明显下降。
The paper comprehensively USES the superiority of fuzzy pattern recognition over rejecting noise information and BP neural network on simulation to design a new algorithm named fuzzy neural network.
文章在综合利用模糊模式识别剔除噪音信息和BP神经网络拟合优势的基础上，设计了模糊神经网络新算法。
This paper firstly introduces an extended plant adaptive neural network model which can be on-line adapted conveniently, then presents a method of active noise control using adaptive neural networks.
本文首先引入一个能方便进行在线自适应的扩展控制对象自适应神经网络模型，在此基础上提出一种噪声有源控制的自适应神经网络方法。
A common problem in software faults prediction is the presence of noise in the data. Neural Networks are robust and have a good noise tolerance.
软件失效预测中的一个普遍的问题是数据中存在噪声，而神经网络具有鲁棒性并对噪声有很强的抑制能力。
The thesis uses fuzzy neural network' s approach ability to prove that a fuzzy neural network with a finite rule number can optimally predict a chaotic system with noise.
本文利用模糊神经网络的通用逼近性，证明了在噪声情况下利用有限规则数的模糊神经网络可以以最小的误差预测混沌系统。
In addition, rough sets is high sensitivity to the noise in the decision table, this weakness can be counterbalance by BP neural network.
同时，粗糙集对于决策表噪声比较敏感，BP神经网络可以克服这个缺点。
AFCN (adapted fuzzy cluster neural network) is introduced to keep up trade-off between noise attenuation and detail preservation in image processing.
为了获得滤除噪声和细节保留两方面更好的平衡，提出了一种自适应模糊聚类神经网络。
In the active noise control system we apply neural network control method and derive neural network BP algorithm.
在噪声主动控制系统中采用神经网络控制方法，给出了神经网络BP算法的一种变异算法。
This method is robust to Gaussian noise and constellation rotation due to initial phase of signal and avoids overfitting and local minimum in neural networks.
这种方法对高斯噪声和星座图由于信号初始相位而引入的旋转具有良好的稳健性，并避免了神经网络中的过学习和局部极小点等缺陷。
Then the autoassociative neural network is used to test the noise rekection abilities of the self organizing networks.
为验证网络的抗噪性能，引入了自联想神经网络。
By using some road traffic noise measured data, a model of neural network for road traffic noise prediction was established.
本文通过分析影响公路交通噪声的各种因素，并利用实测样本数据，建立了一个公路交通噪声预测的神经网络模型。
The message impressed by gears noise is messy and nonlinear, to seek the law of it, the use of artificial neural network to take research on it brings out the best in each other.
齿轮噪声传递出来的信息是杂乱的，非线性的，为了寻求其中的规律，利用人工神经网络方法对其进行研究是相得益彰的。
Finally, an adaptive noise cancelling system is designed as an example and the computer simulation results show the superior performance of the adaptive neural network filters.
最后以自适应噪声对消系统为例，进行了计算机仿真，结果显示了这种滤波器的良好性能。
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