A novel intelligent classification model for breast cancer diagnosis

Breast cancer is one of the leading causes of death among women worldwide. Accurate and early detection of breast cancer can ensure long-term surviving for the patients. However, traditional classification algorithms usually aim only to maximize the classification accuracy, failing to take into consideration the misclassification costs between different categories. Furthermore, the costs associated with missing a cancer case (false negative) are clearly much higher than those of mislabeling a benign one (false positive). To overcome this drawback and further improving the classification accuracy of the breast cancer diagnosis, in this work, a novel breast cancer intelligent diagnosis approach has been proposed, which employed information gain directed simulated annealing genetic algorithm wrapper (IGSAGAW) for feature selection, in this process, we performs the ranking of features according to IG algorithm, and extracting the top m optimal feature utilized the cost sensitive support vector machine (CSSVM) learning algorithm. Our proposed feature selection approach which can not only help to reduce the complexity of SAGASW algorithm and effectively extracting the optimal feature subset to a certain extent, but it can also obtain the maximum classification accuracy and minimum misclassification cost. The efficacy of our proposed approach is tested on Wisconsin Original Breast Cancer (WBC) and Wisconsin Diagnostic Breast Cancer (WDBC) breast cancer data sets, and the results demonstrate that our proposed hybrid algorithm outperforms other comparison methods. The main objective of this study was to apply our research in real clinical diagnostic system and thereby assist clinical physicians in making correct and effective decisions in the future. Moreover our proposed method could also be applied to other illness diagnosis.     

汉—蒙机器翻译中源语言动词短语的转换及消歧方法

本文以《汉蒙机器翻译系统》为对象,基于规则的机器翻译方法为例,阐述了从汉语动词短语,主要是附加式结构动词短语、祈使式动词短语、联合结构动词短语、述补结构动词短语、述宾结构动词短语、状中结构动词短语等六种短语,向蒙古语转换中的对应关系。研究表明,它们之间的对应关系不是一对一的关系,而是一对多的关系。所以对蒙古语短语的转换时采用了内部结构消岐法、原型消岐法、限定法和局部规则法等四种消岐方法。     

数控机床常见故障及判别方法

以数控机床为代表的数控设备具有加工精度高,自动化程度高,操作使用方便的特点,已得到广泛应用,成为机械制造行业的主要力量.由于数控机床的维修率较高,需要掌握数控机床的常见故障及一般判别方法.     

基于项目教学理念构建数控机床故障诊断与维修课程教学体系

针对应用型本科机械设计制造及其自动化专业中数控加工与维修专业方向的培养目标和能力要求,总结了项目教学理念和主干专业课程数控机床故障诊断与维修的主要特点,阐述了该课程在专业人才培养体系中的地位及与其他课程之间的相互关系。在此基础上,采用项目教学的先进理念,构建了该课程的教学体系,拟定了该课程教学内容的组成模块及具体知识要点。最后,对实施效果和存在问题进行了探讨,并指出了下一步的工作思路。     

基于支持向量机的室内室外图像分类方法

通过分析室内室外图像的内容,发现其差异性有一定规律性,通常情况下,室内图像含有较高比例的具有一定规则的几何形状的人造物体,而室外图像含有一定比例的具有分形结构的自然物体。本文的方法是利用这个差异性和图像的颜色作为出发点,使用支持向量机(SVM)作为分类器依据图像的边缘和颜色矩特征对图像进行分类。实验结果表明此方法对室内、室外图像分类可以获得较高的准确率。     

Region pair grey difference classifier for face detection

A new kind of region pair grey difference classifier was proposed. The regions in pairs associated to form a feature were not necessarily directly-connected, but were selected dedicatedly to the grey transition between regions coinciding with the face pattern structure. Fifteen brighter and darker region pairs were chosen to form the region pair grey difference features with high discriminant capabilities. Instead of using both false acceptance rate and false rejec- tion rate, the mutual information was used as a unified metric for evaluating the classifying performance. The parame- ters of specified positions, areas and grey difference bias for each single region pair feature were selected by an opti- mization processing aiming at maximizing the mutual information between the region pair feature and classifying dis- tribution, respectively. An additional region-based feature depicting the correlation between global region grey inten- sity patterns was also proposed. Compared with the result of Viola-like approach using over 2 000 features, the pro- posed approach can achieve similar error rates with only 16 features and 1/6 implementation time on controlled illumi- nation images.     

数控机床可靠性的保证

在数控机床的使用中,国内企业常常会面临有效度低的困扰,而且故障维修和停机损失费用也相对较高。如何最大程度地保证数控机床的可靠性、增大效益是企业追求的目标。本文通过分析维修管理人员、操作使用人员、维修技术人员三种不同职位的职责,来探究保证数控机床可靠性的方法。     

山东省企业自主创新能力评价指标体系建立及实证分析

在构建企业自主创新能力指标评价体系基础上,运用层次分析法及神经网络分析法,计算山东省17城市工业企业自主创新能力综合评价得分并进行排名分层,实证分析结果显示整体自主创新能力较好但区域之间差距较明显的结论。     

选煤厂跳汰机自动排料控制系统改造

结合兴隆庄煤矿选煤厂生产实例,分析了兴隆庄矿选煤厂跳汰机自动排料控制系统中存在的问题,介绍了自动排料系统改造的实践和效果。实际生产效果表明,改造后分选精度提高,数量效率提高,事故率降低,分选效果明显改善。     

数控机床定位精度的测试的探讨

首先介绍定位精度和重复定位精度的检测必要性,如何精确测试并计算出这两项指标,选用最合适的计算标准尤为重要;随后介绍了定位精度的先进测试仪器、测试方法、测试数据采集方法;接着介绍了评价定位精度指标的含义、特征值的统计计算法;最后介绍环境因素、环境温度、油系统、机械因素等主要因素对定位精度测试的影响。