金属切削液在轴承加工中的应用

着重介绍金属切削液的分类、功能及其在轴承加工中的选用。在轴承加工中,一般有车削、铣削、钻削、铰削和磨削等多种加工工艺,其中磨削加工是一道非常重要的精密加工工序,如内圆磨削、外圆磨削、平面磨削和沟槽磨削等。轴承加工中使用的水基切削液不仅要具有冷却作用,还要有润滑、清洗和防锈的功能。重点介绍金属切削液的主要功能及其在轴承加工中的应用。     

Using genetic programming for context-sensitive feature scoring in classification problems

Feature scoring is an avenue to feature selection that provides a measure of usefulness for the individual features of a classification task. Features are ranked based on their scores and selection is performed by choosing a small group of high-ranked features. Most existing feature scoring/ranking methods focus on the relevance of a single feature to the class labels regardless of the role of other features (context-insensitive). The paper proposes a genetic programming (GP)-based method to see how a set of features can contribute towards discriminating different classes. The features receive score in the context of other features participating in a GP program. The scoring mechanism is based on the frequency of appearance of each feature in a collection of GP programs and the fitness of those programs. Our results show that the proposed feature ranking method can detect important features of a problem. A variety of different classifiers restricted to just a few of these high-ranked features work well. The proposed scoring-ranking mechanism can also shrink the search space of size O(2 ⁿ ) of subsets of features to a search space of size O(n) in which there are points that are very likely to improve the classification performance.     

基于层次理论的保障住房运行机制研究

保障住房推行过程中存在资金难落实、监管不到位、隐患易聚集等问题。为完善保障住房制度的建设,在分析过滤模型的基础上,建议加大二手房市场扶持力度,规范住房租赁市场,严格执行退出机制,开征相关税费等,构建完备的保障住房运行机制,实现居者有其屋的目标。     

基于邻域粗糙集的加权KNN肿瘤基因表达谱分类算法

肿瘤亚型的准确判别对肿瘤的治疗具有重要意义,对肿瘤的不同亚型进行准确判别是当前生物信息学研究的重要课题．本文首先利用Relief算法排序基因并选出初始的肿瘤信息基因子集,然后利用向基于邻域粗糙集模型的向前属性约减算法FARNeM来计算加权基因集合,最后用加权KNN算法对肿瘤对这些数据进行分析,从而发现有差异的基因表达。实验结果表明了上述方法的可行性和有效性。     

Choice of a pertinent color space for color texture characterization using parametric spectral analysis

This article presents a comparison of different color spaces including RGB, IHLS and L?a*b* for color texture characterization. This comparison is based on the fusion of the independent spatial structure and color feature cues. In IHLS and L*a*b*, two channel complex color images are created from the luminance and the chrominance values. For such images, two dimensional complex multichannel linear prediction models are used to perform parametric power spectrum estimation and the structure feature cues are computed from this estimated power spectrum. Quantitative comparison of auto spectra of luminance and combined chrominance channels for different color spaces is done. This comparison is based on the degree of decorrelation between luminance and chrominance information provided by different color space transformations. Three dimensional histograms are used as color feature cues. Then, to classify color textures, Kullback-Leibler divergence based symmetric distance measures are calculated for pure color, luminance structure and chrominance structure feature cues. Individual as well as combined effect of information from all feature cues on classification results is then compared for different color spaces and different color texture data sets. The proposed color texture classification method performs better than the state of the art methods in certain cases. The L*a*b* color space gives us a better characterization of the chrominance spatial structure as well as the overall spatial structure for all of the chosen data sets. Experimental results on pixel classification of color textures are also presented and discussed.     

遥感图像的云分类和云检测技术研究

为了有效减小云层遮盖对遥感图像数据利用率的影响,提出了一种基于灰度特性 的算法,实现了遥感图像高效自动的云分类及云检测。该方法首先将大幅遥感图像切分成小块 子图,然后统计子图灰度值的均值和方差,在此基础上将云分成无云、薄云和厚云三类,最后 通过边缘检测算法,实现了对厚云影响范围的有效标记。对100 幅典型水域遥感图像的实验测 试结果表明：正确云分类判别率达到97%,误判率小于4%,漏判率小于2%,基本满足实时性 需求,证明了该算法的有效性。     

稠密融合卷积神经网络的多模态地基云状分类

为了解决现有的地基云状分类方法对多模态信息利用不充分的问题,有效融合地基云样本的视觉特征与多模态特征,提出稠密融合卷积神经网络的多模态地基云状分类方法.稠密融合卷积神经网络采用卷积神经网络作为视觉子网络提取地基云图像的视觉特征,采用多模态子网络提取多模态特征,在网络内部加入了5个稠密融合模块,用于充分融合视觉特征与多模...     

Fold-Hopf bifurcation in a simplified four-neuron BAM (bidirectional associative memory) neural network with two delays

The bidirectional associative memory (BAM) neural network with four neurons and two delays is considered in the present paper.A linear stability analysis for the trivial equilibrium is firstly employed to provide a possible critical point at which a zero and a pair of pure imaginary eigenvalues occur in the corresponding characteristic equation.A fold-Hopf bifurcation is proved to happen at this critical point by the nonlinear analysis.The coupling strength and the delay are considered as bifurcation parame...     

基于AHM和ABC分类法的多元过程能力指数

简要介绍了多元质量特性的过程能力指数(MPCI)的研究现状,并提出基于AHM(属性层次模型)和ABC分类法的多元过程能力指数。该方法充分考虑了各个质量特性的重要性差异和不同等级的质量特性的控制目标的不同。具体介绍了该方法的步骤,并通过实例分析证明了方法的有效性和实际性。     

基于ISODATA算法的土地利用状况调查

针对现有利用遥感影像进行土地利用状况调查的需求,从统计模式识别的角度出发,在分析ISODATA算法基本原理的基础上,通过visual C＋＋语言编程实现,并将其运用于武汉市某地区的土地利用调查工作中,同时对照ER—DASIMAGINE软件处理结果对分类结果进行分析,提出了改进意见,证明了该方法的可行性与实用性。