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排序方式: 共有300条查询结果,搜索用时 15 毫秒
1.
Edward C. Malthouse 《Data mining and knowledge discovery》2007,15(3):383-402
This paper discusses a new application of data mining, quantifying the importance of responding to trigger events with reactive
contacts. Trigger events happen during a customer’s lifecycle and indicate some change in the relationship with the company.
If detected early, the company can respond to the problem and retain the customer; otherwise the customer may switch to another
company. It is usually easy to identify many potential trigger events. What is needed is a way of prioritizing which events
demand interventions. We conceptualize the trigger event problem and show how survival analysis can be used to quantify the
importance of addressing various trigger events. The method is illustrated on four real data sets from different industries
and countries. 相似文献
2.
The cure fraction models have been widely used to analyze survival data in which a proportion of the individuals is not susceptible to the event of interest. In this article, we introduce a bivariate model for survival data with a cure fraction based on the three-parameter generalized Lindley distribution. The joint distribution of the survival times is obtained by using copula functions. We consider three types of copula function models, the Farlie–Gumbel–Morgenstern (FGM), Clayton and Gumbel–Barnett copulas. The model is implemented under a Bayesian framework, where the parameter estimation is based on Markov Chain Monte Carlo (MCMC) techniques. To illustrate the utility of the model, we consider an application to a real data set related to an invasive cervical cancer study. 相似文献
3.
精制胸腺活性肽药效学研究 总被引:1,自引:1,他引:1
目的 考察精制胸腺活性肽免疫学活性。方法 建立BALB/c小鼠肝细胞肿瘤(腹水型)模型,经腹腔连续注射肝肿瘤细胞15d,检测各种生命指标,以观察抗肿瘤效果。同时用E-玫瑰花环实验及淋巴细胞转化实验评价其生物学活性。结果 抗肿瘤实验表明,生命各项指标均优于盐水对照组,用药组10d、15d的存活率明显高于对照组;E-玫瑰花环及淋巴细胞转化实验均显示精制胸腺活性肽组明显高于对照组。结论 精制胸腺活性肽具有明显的免疫增强作用。 相似文献
4.
陈宇 《计算机光盘软件与应用》2011,(14)
相信大家对达尔文的进化论并不陌生,其中的基因遗传,基因突变等等对基因学得发展起了不可估量的作用。优胜劣汰,即优的基因大量被遗传复制,劣的基因较少被遗传复制。借用这些理论思路,我们可以将其思想用到自动组卷中。所谓自动组卷,即在各种方面不同难度不同题型的题库中选择一套试卷出来,这套试卷对平均难度,总体量,题型比例,重点章节所占试卷比例等等有一定的要求。这样我们就需要一种算法来满足组卷的各方面需求,即遗传算法。本文我们就对遗传算法在组卷中的应用做详细的介绍。 相似文献
5.
Vicente G. CanchoFranscisco Louzada-Neto Gladys D.C. Barriga 《Computational statistics & data analysis》2011,55(1):677-686
In this paper we proposed a new two-parameters lifetime distribution with increasing failure rate. The new distribution arises on a latent complementary risk problem base. The properties of the proposed distribution are discussed, including a formal proof of its probability density function and explicit algebraic formulae for its reliability and failure rate functions, quantiles and moments, including the mean and variance. A simple EM-type algorithm for iteratively computing maximum likelihood estimates is presented. The Fisher information matrix is derived analytically in order to obtaining the asymptotic covariance matrix. The methodology is illustrated on a real data set. 相似文献
6.
Francisco Louzada Mari RomanVicente G. Cancho 《Computational statistics & data analysis》2011,55(8):2516-2524
In this paper, we proposed a new two-parameter lifetime distribution with increasing failure rate, the complementary exponential geometric distribution, which is complementary to the exponential geometric model proposed by Adamidis and Loukas (1998). The new distribution arises on a latent complementary risks scenario, in which the lifetime associated with a particular risk is not observable; rather, we observe only the maximum lifetime value among all risks. The properties of the proposed distribution are discussed, including a formal proof of its probability density function and explicit algebraic formulas for its reliability and failure rate functions, moments, including the mean and variance, variation coefficient, and modal value. The parameter estimation is based on the usual maximum likelihood approach. We report the results of a misspecification simulation study performed in order to assess the extent of misspecification errors when testing the exponential geometric distribution against our complementary one in the presence of different sample size and censoring percentage. The methodology is illustrated on four real datasets; we also make a comparison between both modeling approaches. 相似文献
7.
Eric Steinhart 《Minds and Machines》2007,17(3):261-271
You can survive after death in various kinds of artifacts. You can survive in diaries, photographs, sound recordings, and
movies. But these artifacts record only superficial features of yourself. We are already close to the construction of programs
that partially and approximately replicate entire human lives (by storing their memories and duplicating their personalities).
A digital ghost is an artificially intelligent program that knows all about your life. It is an animated auto-biography. It
replicates your patterns of belief and desire. You can survive after death in a digital ghost. We discuss a series of digital
ghosts over the next 50 years. As time goes by and technology advances, they are progressively more perfect replicas of the
lives of their original authors.
相似文献
Eric SteinhartEmail: Email: URL: http://www.wpunj.edu/cohss/philosophy/steinhart |
8.
为了给重离子治癌装置的照射野均匀度的确定提供依据,从理论上研究了重离子照射野均匀度对细胞存活率的影响,以细胞存活率曲线的线性平方模型为基础,导出了受不均匀重离子照射野照射时的细胞存活率与剂量的关系式,利用这个关系式讨论了照射野均匀度对细胞存活率的影响,结果表明,受不均匀照射野照射时的细胞存活率要比受理想的均匀照射野照时的细胞存活率大,均匀度越差细胞存活率越大;当实际照射野均匀度>95%时,方可将实际的照射野作为理想的均匀照射野来处理,因此,重离子治癌装置的照射野均匀度应>95%,同时指出,在对不同的实验室所得到的细胞存活率曲线进行比较时,应考虑不同的实验室的重离子照射野的均匀度的一致性。 相似文献
9.
近年来,智能交通系统(Intelligent Transportation Systems,ITS)已成为提高交通系统性能和增强出行安全性的有效方式。但随着系统数据量的增加,数据缺失问题日益严重,其中由于车载GPS信号丢失导致的轨迹数据缺失是主要的研究问题之一。引起GPS轨迹缺失的原因的多样性造成数据补全工作困难,且至今很少有关于轨迹缺失规律的研究。针对GPS信号丢失原因多样化的问题,基于大量真实数据,首次将生存分析应用于数据缺失领域,提出了基于生存分析的GPS轨迹缺失规律挖掘模型(Survival Analysis-Missing Trajectory Pattern Mining,SA-MTPM)。首先通过生存函数描述信号丢失时长与丢失原因的关系,然后利用Cox回归模型分析信号丢失的关键因素。使用上海市强生出租车公司一个月内13666辆车的数据进行实验,结果表明GPS轨迹缺失存在一定规律,据此可以方便地对信号丢失事件进行识别分类,为进一步对大数据进行研究提供了参考。 相似文献
10.
Edson Z. Martinez Jorge A. Achcar Alexandre A.A. Jácome José S. Santos 《Computer methods and programs in biomedicine》2013
The cure fraction models are usually used to model lifetime time data with long-term survivors. In the present article, we introduce a Bayesian analysis of the four-parameter generalized modified Weibull (GMW) distribution in presence of cure fraction, censored data and covariates. In order to include the proportion of “cured” patients, mixture and non-mixture formulation models are considered. To demonstrate the ability of using this model in the analysis of real data, we consider an application to data from patients with gastric adenocarcinoma. Inferences are obtained by using MCMC (Markov Chain Monte Carlo) methods. 相似文献