讨论具有某种特征映射的类似柯西积分定理的结论。
A discussion on some characterized mapping conclusions similar to Cauchy integral theorem.
提出一种量子自组织特征映射网络模型及聚类算法。
A quantum self-organization feature mapping networks model and its clustering algorithm are presented.
描述特征映射中的变量约束、规则约束和过程约束机制。
The restriction mechanism of variable, rule, process are depicted.
探讨了以零件制造特征映射为基础的异地制造资源快速配置策略与方法；
The strategy and methodology for rapid configuration of disperse manufacturing resources based on part manufacturing feature is discussed;
提出了一种基于自组织特征映射(SOFM)神经网络的图像融合二值化方法。
An image fusion binarization method based on Selforganization Feature Map (SOFM) neural network is presented.
自组织特征映射是一种人工神经网络方法，可以同时实现模式识别和数据分类。
Self Organizing Map is a method of artificial neural network, which implements pattern recognition and data clustering simultaneously.
实验结果表明，与自组织特征映射方法相比，本文的方法具有许多重要的优点。
Experimental results show that this method has significant benefits over self-organizing neural network method.
本文讨论了基于自组织特征映射网络聚类算法的基本原理，并指出了算法的缺陷。
In this paper, the basic principle of the clustering algorithm based on self-organizing feature map network is discussed, and pointed out its defects.
重点阐述孔系约束匹配法及基于约束的孔系特征映射实现方法，并给出实例验证。
This paper elaborates the constraint-based method and gives the realizing approach to the hole-series feature mapping. It's verified by a component instance.
本文根据自组织特征映射神经网络学习算法，提出了其权值的CMOS实现电路。
According to a learning algorithm of self organizing neural network for mapping character, a CMOS implementation of its synaptic weight by circuit is presented in this paper.
第一层结构使用自组织特征映射神经网络（SOFM）将像素映射到二维的平面上。
The first level of our system employs the self-organizing feature map (SOFM) to map colors of image on a two dimensional feature map.
等距特征映射(ISOMAP)不仅计算复杂度很高，而且缺乏对新样本的学习能力。
Isometric Feature Mapping (ISOMAP) not only has high complexity but also can not learn new samples.
介绍了一种利用自组织特征映射(SOFM)网络的聚类功能进行全天星图识别的方法。
A method that applies the clustering function of SOFM (Self-Organizing Feature Maps) network is proposed for autonomous star pattern recognition.
介绍了一种利用SOFM(自组织特征映射)网络的聚类功能进行全天星图识别的算法。
An autonomous star pattern recognition method using the tri-star clustering function of SOFM (Self-Organizing Feature Maps) network is described.
箱体类零件特征映射的过程包括特征筛选、特征分类、特征匹配、特征分解和可加工性评估。
The principle of feature mapping for box components has been discussed. It consists of feature selection, classification, match, decomposition, and machining judgement.
并对SOM算法进行了改进，提出了一种分类频率敏感自组织特征映射（CFSSOM）算法。
Then a classified frequency sensitive self-organizing feature map(CFSSOM) was proposed for the codebook training.
自组织特征映射（SOFM）网络利用神经元权值向量表示输入数据的结构、具有较好的分类能力。
The self-organizing feature map (SOFM) uses weight of network to present structure of the input data and has preferable ability of classification.
针对汽轮机转子故障分类问题，采用模糊数学和自组织特征映射神经网络方法诊断汽轮机转子的故障。
In the light of the problems involved in a steam turbine rotor fault diagnosis proposed in this paper is a new diagnostic method based on a fuzzy self organizing neural network.
提出曲元分析(CCA)和自组织特征映射(SOFM)相结合的方法用于轴承的故障诊断特征提取。
The combination of curvilinear component analysis (CCA) and self-organizing feature map (SOFM) were applied to a diagnosis for fault feature extraction of bearing.
本文应用多层前馈神经网络和自组织特征映射神经网络分别对简单目标和复杂飞机目标进行了分类识别。
The classification of simple and complex objects is investigated using the multiple layer forward neural network and the self-organizing feature map network.
本文通过利用涌现自组织特征映射神经网络对数据进行聚类分析，并通过无边界u矩阵实现可视化功能。
To facilitate clustering analysis and visualization of data, the Emergent Self-Organizing Feature Maps (ESOM) and a boundless U-matrix are needed.
本文简要介绍了自组织特征映射神经网络的基本原理，并利用其原理对土地复垦的条件分类进行了初步研究。
The paper briefly introduces the fundamentals of neural network of self-organizing feature map and on the basis of which discusses the classification of land reclamation conditions.
映射知识以特征为对象按面向对象技术表达和组织，由系统知识库和过程知识库共同驱动双向特征映射的实现。
Mapping knowledge is represented and organized by means of Object-Oriented technique. System KB and procedure KB drive the two-way feature mapping.
自组织特征映射人工神经网络对正常肝的识别正确率达84.8% ，对脂肪肝的识别正确率达90 .9%。
The neural network algorithm showed accuracy rate of 84.8% for normal liver and 90.9% for fatty liver.
针对高光谱遥感影像数据量大、数据冗余度高的特点，引入拉普拉斯特征映射方法对高光谱遥感数据进行非线性降维。
Feature extraction is an indispensable preprocessing step for large and high redundancy data of hyperspectral remote sensing image.
本文研究了多层感知器、径向基函数网络、学习向量量化网络和自组织特征映射网络等四种神经网络在回转窑火焰图像分割中的应用。
In this paper, four neural networks, i. e. multi layer perception, radial basis function, learning vector quantization and self organizing feature mapping, are used to segment the flame image.
对自组织特征映射神经网络的特性进行分析，并将其与矢量量化问题的实质进行比较，提出了一个实现矢量量化的自组织特征映射算法。
The characteristics of SOFM neural network is analysed and compared with the feature of Vector Quantizing problem in this paper. Based on this an algorithm for Vector Quantizing is put forward.
提出通过特征识别和特征交互定义相结合的方法来实现产品特征建模，并给出了基于STEP中性文件来实现特征识别和特征映射的方法。
A method to build up product feature model by integration of feature recognition and the definition of interact feature is put forward, and using STEP files to realize feature recognition and mapping.
提出通过特征识别和特征交互定义相结合的方法来实现产品特征建模，并给出了基于STEP中性文件来实现特征识别和特征映射的方法。
A method to build up product feature model by integration of feature recognition and the definition of interact feature is put forward, and using STEP files to realize feature recognition and mapping.
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