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21.
随着全业务运营的开展,重要集团客户接入业务对运营商意义重大.本文通过某城市一个重要集团客户接入业务的实现过程,对如何充分利用现有城域传送网资源,快速、准确的满足重要集团客户业务的接入需求进行了探讨. 相似文献
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Linear regression (LR) is a core model in supervised machine learning performing a regression task. One can fit this model using either an analytic/closed-form formula or an iterative algorithm. Fitting it via the analytic formula becomes a problem when the number of predictors is greater than the number of samples because the closed-form solution contains a matrix inverse that is not defined when having more predictors than samples. The standard approach to solve this issue is using the Moore–Penrose inverse or the L2 regularization. We propose another solution starting from a machine learning model that, this time, is used in unsupervised learning performing a dimensionality reduction task or just a density estimation one—factor analysis (FA)—with one-dimensional latent space. The density estimation task represents our focus since, in this case, it can fit a Gaussian distribution even if the dimensionality of the data is greater than the number of samples; hence, we obtain this advantage when creating the supervised counterpart of factor analysis, which is linked to linear regression. We also create its semisupervised counterpart and then extend it to be usable with missing data. We prove an equivalence to linear regression and create experiments for each extension of the factor analysis model. The resulting algorithms are either a closed-form solution or an expectation–maximization (EM) algorithm. The latter is linked to information theory by optimizing a function containing a Kullback–Leibler (KL) divergence or the entropy of a random variable. 相似文献
23.
In this paper, we study the problem of designing motion strategies for a team of mobile agents, required to fulfill request for on-site service in a given planar region. In our model, each service request is generated by a spatio-temporal stochastic process; once a service request has been generated, it remains active for a certain deterministic amount of time, and then expires. An active service request is fulfilled when one of the mobile agents visits the location of the request. Specific problems we investigate are the following: what is the minimum number of mobile agents needed to ensure that a certain fraction of service requests is fulfilled before expiration? What strategy should they use to ensure that this objective is attained? This problem can be viewed as the stochastic and dynamic version of the well-known vehicle routing problem with time windows. We also extend our analysis to the case in which the time service requests remain active is itself a random variable, describing customer impatience. The customers’ impatience is only known to the mobile agents via prior statistics. In this case, it is desired to minimize the fraction of service requests missed because of impatience. Finally, we show how the routing strategies presented in the paper can be executed in a distributed fashion. 相似文献
24.
With the development of next generation network (NGN), reasonable service quality evaluation is essential in network management. Based on NGN service characteristics, this article presents a comprehensive service quality evaluation system from two perspectives: quantitative and qualitative. From the quantitative point of view, this article brings forward the normalized service level achievement function (NSLA function) at technical layer. Also, with mean opinion score (MOS) mode, it proposes customer satisfaction assessment methods at customer perception layer. From the qualitative perspective, a hierarchical model is established, which forms mapping relations from the upper customer perception to the lower service quality parameters, and then the influence of different service parameters on customer satisfaction degree can be denoted by the fuzzy analysis hierarchy process (FAHP) algorithm. Quantitative and qualitative evaluations together form a comprehensive solution which is universal, customer-oriented and flexible. Demonstrated by the representative voice service, the proposed system is proved reliable and applicable to service evaluation in NGN. 相似文献
25.
集团客户业务的蓬勃发展和有限的投资额度之间形成了矛盾。集团客户业务具有小型化、个性化和地域化的特征。这就要求对为数众多、特征各异的项目进行评价。采用屡次分析法,能够全面、务实的对不同的项玛进行评价,为科学决策提供帮助。 相似文献
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通过对集团客户通信网管系统建设的必要性和重要性进行详细阐述,对客户通信网管系统建设需求进行分析,对客户通信网管系统在山西省内的应用进行研究,对客户通信网管系统功能进行探讨,供业界同行参考。 相似文献
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构建基金智能客服情绪安抚算法,增加人性化设计以有效提升客户使用体验。由基于OCC模型的情绪粗粒度分类得到有负面情感的文本信息,对该文本信息进行相关处理,而后基于SVM模型进行情绪细粒度分类,得到文本的负面情绪类别并在囊括专业知识和情绪应答的基金领域知识库中匹配答案和情绪应答语句,将查询结果展示给客户。 相似文献
30.
供电企业提供的传统服务机制已越来越不能满足客户需求,客户服务工作模式欠缺主动,获取客户需求能力差,现有的系统之间和各远程服务渠道之间的信息数据缺乏共享性,带来数据应用障碍。对此,引入客户服务管理平台,一方面实现现有系统和各远程服务渠道之间的数据共享,另一方面运用共享的数据引入大数据分析技术实现敏感词预警监控。 相似文献