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排序方式: 共有150条查询结果,搜索用时 15 毫秒
1.
汪槱生 《变流技术与电力牵引》2006,(2):1-3
从技术改造、循环经济、防污治污、政策支持、综合利用、可再生能源等方面推进能源资源节约,这既是缓解能源资源供求矛盾的重大举措,也是从源头上减少污染、改善生态环境的重要途径. 相似文献
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本文参考某省移动公司小额支付电子商务平台的实际项目,从工程项目的角度描述了业务功能和系统结构,并详细叙述了其中一种代表性的业务处理流程,为移动小额支付业务提供了完整的概要设计方案. 相似文献
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兰圃互通是京福国道主干线与同三国道主干线在福州的交叉点上的1座大型互通立交。它由一系列的弯梁桥组成,在施工过程中出现了支座上翘、梁体爬行等问题。为此在2004年年底通车前对该桥进行了静动载试验和加固。介绍其B匝道第1联桥的静动载试验、有限元分析和根据分析结果提出的加固方案。 相似文献
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胡政发 《湖北汽车工业学院学报》2007,21(4):46-49,68
为了完成分类学习,传统的支持向量机基于带标记信息的经验数据归纳出一个通用的决策函数。而转导支持向量机则不同,它考虑包含测试集在内的所有数据信息并致力于最小化测试样本的分类错误数。在已有的2类分类方法的基础上构造了直接求解多类分类问题的的转导支持向量机。 相似文献
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《铁道标准设计通讯》2015,(7):60-65
铁路桥梁梁端伸缩装置是大跨度桥梁的重要部件,为实现轨道的连续性和平顺性,需要具备滑动和支撑功能。对国内各种铁路桥梁梁端伸缩装置的结构特点、工作原理以及各自优缺点进行分析对比,目的在于分析出国内自主研发的梁端伸缩装置需要改进的思路和方向。我国要实现铁路桥梁梁端伸缩装置完全自主化,需要吸收国外先进的技术和经验,同时提升自身的制造精度和水平。 相似文献
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Athanasios Matzoros 《运输规划与技术》2013,36(3):215-237
This article reports on an implementation study of a computerised decision support system for public transport management for the Athens Public Transport Authority (APTA). The study analysed the current situation, specified user requirements, determined system functionality, designed the system architecture, organised the project and, finally, planned dissemination activities. The decision support system covers the main public transport management activities of APTA - transport service provision, economic and financial planning, passenger complaints and suggestions, and personnel management - offering its users the possibility to study the potential effects of their decisions before implementation. To achieve this, the system will consist of a data warehousing system, for the integrated management of a wide variety of data sources, and of online analytical processing tools, for information analysis and scenario testing. The system architecture has been designed to offer robustness, flexibility, rich functionality and open connectivity. The system aims to help APTA reduce operational costs and provide a better transport service, attracting more passengers to public transport and reducing, in the process, congestion and pollution. 相似文献
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The focus of this paper is to learn the daily activity engagement patterns of travelers using Support Vector Machines (SVMs), a modeling approach that is widely used in Artificial intelligence and Machine Learning. It is postulated that an individual’s choice of activities depends not only on socio-demographic characteristics but also on previous activities of individual on the same day. In the paper, Markov Chain models are used to study the sequential choice of activities. The dependencies among activity type, activity sequence and socio-demographic data are captured by employing hidden Markov models. In order to learn model parameters, we use sequential multinomial logit models (MNL) and multiclass Support Vector Machines (K-SVM) with two different dependency structures. In the first dependency structure, it is assumed that type of activity at time ‘t’ depends on the last previous activity and socio-demographic data, whereas in the second structure we assume that activity selection at time ‘t’ depends on all of the individual’s previous activity types on the same day and socio-demographic characteristics. The models are applied to data drawn from a set of California households and a comparison of the accuracy of estimation of activity types and their sequence in the agenda, indicates the superiority of K-SVM models over MNL. Additionally, we show that accuracy in estimating activity patterns increases using different sets of explanatory variables or tuning parameters of the kernel function in K-SVM. 相似文献