From First Conception to First Demonstration: the Nascent Years of Machine Translation, 1947–1954. A Chronology

The early history of applying electronic computers to the task of translating natural languages is chronicled, from the first suggestions by Warren Weaver in March 1947 to the first demonstration of a working, if limited, program in January 1954.     

高精度七米激光测长机的误差补偿技术

简要介绍一笔者研制的大型计量测试仪器－“高精度七米激光测长机及其计量管理系统”的工作原理，详细地介绍了其测量过程中采用的误差补偿技术并进行实验验证。     

Error Analysis for High-precision 7m Laser Measuring Machine

This paper introduces a high precision 7m laser measuring instrument developedby the anthors and its operating principle,and systematically analyses the errors havinginfluence on the performance of the measuring instrument.Error analysis and actualverification indicate that all the characteristics reached or exceeded the original designspecifications.     

PLC 控制的榨菜自动包装机控制系统的可靠性研究及其通讯监测

本文着重研究了榨菜自动包装机控制系统的可靠性，并对其运行状态进行通讯监测     

Simulation based on learning methods

The use of simulation technology as a tool for planning and control is of increasing significance in most fields of production. The main part of the expenditure concerning simulation analyses is the modelling of the considered production. Despite the use of modern building-block-oriented modelling technology, this modelling can often not be done by the user, but only by external experts. Against this backdrop, an adaptive simulation system is being developed by the Institute for Industrial Manufacturing and Management (IFF) at the University of Stuttgart. It independently adapts to real production processes, i.e. it learns about the interdependencies of production processes, and, in this way, supports the user in constructing and maintaining the model. In terms of information technology, the research in the field of artificial intelligence, especially in the subdomain of machine learning, is the basis for the realization of such adaptive systems.     

Incremental Feature Selection

Feature selection is a problem of finding relevant features. When the number of features of a dataset is large and its number of patterns is huge, an effective method of feature selection can help in dimensionality reduction. An incremental probabilistic algorithm is designed and implemented as an alternative to the exhaustive and heuristic approaches. Theoretical analysis is given to support the idea of the probabilistic algorithm in finding an optimal or near-optimal subset of features. Experimental results suggest that (1) the probabilistic algorithm is effective in obtaining optimal/suboptimal feature subsets; (2) its incremental version expedites feature selection further when the number of patterns is large and can scale up without sacrificing the quality of selected features.     

异步电机软起动装置的模糊控制器设计研究

介绍了DRQ系列异步电机软起动装置的硬件电路。在此基础上着重讨论了其模糊控制器的设计,探讨了模糊控制器量化因子和比例因子的选择与整定方法,使模糊控制与电流瞬时值采样相配合,达到了良好的控制效果。该方法电流波动小,无电流冲击与振荡现象。     

一种贝叶斯证据框架下支持向量机建模方法的研究

研究贝叶斯证据框架下标准支持向量机和最小二乘支持向量机的估计算法和建模方法，给出一种高斯桉支持向量机估计算法的参数选择和调整方法，将贝叶斯证据框架下支持向量机的建模方法应用于非线性系统的辨识，仿真结果表明，该方法对于工业过程建模是十分有效的。     

基于GMM统计特性参数和SVM的话者确认

针对与文本无关的话者确认中大量训练样本数据的情况，本文提出了一种基于GMM统计特性参数和支持向量机的与文本无关的话者确认系统，以说话人的GMM统计特性参数作为特征参数训练建立目标话者的SVM模型，既有效地提取了话者特征信息，解决了大样本数据下的SVM训练问题，又结合了统计模型鲁棒性好和辨别模型分辨力好的优点，提高了确认系统的确认性能及鲁棒性。对微软麦克风语音数据库和NIST’01手机电话语音数据库的实验表明该方法的有效性。     

现代工程机械发展趋势与未来展望

总结了国内外当前建设机械的技术现状,对工程机械的发展趋势进行了多角度分析,并就其未来发展作了展望。