建立了神经网络物元模型，并详细分析神经网络物元的可拓性以及基本的物元变换；
Matter-element model of neural networks is constructed. Its extension character and matter-element transformation are detailedly analyzed.
聚类分析神经网络的输入样本序列具有各种不同的空间分布性态，这就要求采用不同的相似匹配准则。
The input series of cluster neural networks have various characteristics in the samples' space, which need corresponding similarity matching rules used in the networks.
通过对背向滑步推铅球技术的实例研究，证明本研究建立的运动技术分析神经网络模型的精度是可靠的，分析方法是可行的。
ANNAMT was constructed in the practical study of the glide-style shot-put. The research testified that the forecasting ability of this model is high and the method of constructing ANNAMT is feasible.
研究人员用所谓的人工神经网络的技术分析数据的模式。
The researchers used a technique called artificial neural networks to look for patterns in the data.
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。
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.
本文研究了在微波探测系统中，利用人工神经网络做谱分析和插值的快速方法。
A fast method for spectrum analysis and interpolation using artificial neural network (NN) for the microwaves surveying system is studied.
对反馈神经网络进行了研究，在分析现有混沌神经网络的工作原理的基础上，提出一种新的混沌神经网络模型。
The study of the feedback neural network, the analysis of the work principle of Hopfield neural network lead to a neural network model with chaotic character .
采用基于灵敏度分析的BP神经网络模型作为基分类器，进一步剔除冗余基因。
BP neural network based on sensitivity analysis is used as base classifier to learn the subsets and redundant genes are further removed.
我们发现语义神经网络以语义分析为主，这正好符合汉语作为分析型语言的特点。
We find that the Semantic Neural Network relies on semantic analysis mainly, which just accords with the characteristics of Chinese as the language of analytical type.
提出了利用模糊逻辑-神经网络分析高压电气设备绝缘参数变化趋势的方法。
The fuzzy logic-neural network is used to analyze the tendency of insulation parameter change of HV(High Voltage) electric equipment.
深入分析了引起系统测量误差的原因，并利用神经网络对线结构光测量系统进行误差补偿，提高了系统的测量精度。
The reason that caused measurement error is analyzed deeply. The paper makes use of the neural network to compensate linear structured light measurement system, so improve the measurement precision.
首先利用测振传感器获得转子的振动信息，然后用FFT分析，将振动信号的频谱分析作为神经网络的训练样本。
The dynamic vibration information is gained from acceleration meter, and then by FFT analysis, the frequency information of vibration is used as the training specimen of neural network.
20世纪90年代以来，国内外在大气学科中开展了很多有关神经网络预报建模和气候分析等应用研究。
Since the 90's of 20 centuries, Some the Neural Network forecast mold were applied in domestic and international atmosphere course.
采用小波多分辩率分析方法提取基因表达的特征，利用支持向量机和BP神经网络方法进行分类。
The features of gene expression are extracted by the wavelet multi-resolution analysis, the features are classified by the support vector machines and BP neural network methods.
针对黄土边坡稳定分析计算方法繁琐、复杂、精度低等缺陷，应用神经网络理论，提出了黄土边坡稳定性分析的新方法。
To overcome the defect of overelaborate for the fussy, intricate and low accurate method, a new method of stability analysis of loess slopes is put forward with the theory of neural network.
在简要介绍神经网络原理的基础上，分析了采用神经网络解决交通系统中空车调度及交通流预测的原理及方法。
Based on the introduction to neural network principle, two methods of solving free train schedule and traffic flow prediction in transportation system with neural network are analyzed.
在应用人工神经网络时，采用基于相关分析法的节点删除法来优化网络结构提高网络性能。
During the use of the artificial neural network some nodes were deleted to optimize the network based on the correlation analytical theory.
利用软测量的思想，采用神经网络建立软测量模型和小波分析进行数据处理，以克服传统方法的不足，提高出口带钢厚度预测的精度。
The idea of soft-measurement is used in our work and neural network and wavelet transform are adopted to overcome deficiency of traditional method and improve forecast accuracy of exit thickness.
论文在分析各类神经网络的基础上，着重研究了RBFNN在删除冗余属性方面的研究。
The paper have studied RBFNN research in deleting redundant attribute emphatically on the basis of analyzing all kinds of neural networks in thesis.
分析了通过神经网络来实现响应面模型构建的方法。
The construction of response surface models by the artificial neural network is analyzed.
特别针对模型未知的非线性系统，研究了时间序列分析和神经网络相结合的故障预报方法。
The methods, which combine time series analysis and neural networks, are especially studied and applied in the model-unknown nonlinear system.
提出一种基于非线性电路频域核分析和神经网络的故障诊断方法。
A fault diagnosis method based on frequency-domain kernel analysis in nonlinear circuit and neural network is presented.
叙述了基于ANN函数逼近能力的母线保护原理，分析了母线保护物理对象的函数关系，构建了母线保护的人工神经网络模型。
This article indicates the principle for ANN bus protection based on function approximation ability, analyzes the functional relation of bus-bar object and builds the ANN model of bus-bar protection.
探讨了软测量常用的几类建模方法，包括回归分析和神经网络。
Several model building methods for the soft sensor are described, including regression analysis and neural networks.
然后分析了神经网络BP算法在收敛方面的不足，并针对其不足结合基于正交算子的遗传算法进行改进。
Then, this paper, after analyzing the shortage of BP neural networks in convergence, betters it by combining with the orthogonal-crossover-operator-based GA.
神经网络学习模块采用BP网络，通过仿真分析确定了网络的结构。
The NN learning block, using BP network, is determined by comparing the simulation results.
方法应用层次分析和BP神经网络法。
Methods The layer analysis evaluate method and BP neural network method were applied.
在对径向基概率神经网络进行理论分析基础上，采用减法聚类方法确定它的隐中心矢量。
On the basis of analyzing RBPNN in theory, subtractive clustering is used to determine its hidden centric vector.
在对径向基概率神经网络进行理论分析基础上，采用减法聚类方法确定它的隐中心矢量。
On the basis of analyzing RBPNN in theory, subtractive clustering is used to determine its hidden centric vector.
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