encephalo-duro-arterio-synangiosis 脑-硬膜-动脉-联合血管病；engineering data analysis system 工程数据分析系统；Ethernet data acquisition system 以太网数据采集系统；
手机查看EDAS的意思，微信扫一扫页面右侧二维码。关注 911查询大全 后发送 EDAS 即可EDAS 网络解释1. 头盖内外血管间接吻合术：血管障害 Vascular lesion 7 | 头盖内外血管间接吻合术 EDAS 3 | 头盖内外血管直接吻合术 STA-MCA anastomosis 1
EDAS 双语例句1.
1. Based on the estimation of distribution algorithms with probabilistic principal component analysis, a kind of EDAs based on Niche and PPCA is proposed in this paper.
文章在概率主成分分析分布估计算法的基础上提出了一种基于小生境的分布估计算法。
2. Compared with the traditional EDAS based on Client/Server structure, this system is more open and transplantable with short development period and long operation life. It is the trend of EDAS.
与传统采用客户机／服务器结构的电网调度自动化系统相比，它有良好的开放性、可移植性、系统开发周期短、生命周期长等优点，因此是电网调度自动化系统的发展趋势。
3. EDAs:The design of numerical alarm clock, imitate really with end realization.
EDA：数字闹钟的设计、仿真与最终的实现。
4.
4. In contrast to traditional estimate distribution algorithm, parallel EDAs has greatly improved the efficiency when optimizing continuous functions and real time questions.
相对于传统的概率分布估计算法，并行的概率分布估计算法在解决连续函数优化及实时优化问题时能提供极大程度的效率提高。
5. Later the core of EDAs - probability map model was introduced and Bayesian network structure was emphasized. It is a chart model that can show the joint probability distribution function about a set of variables.
然后介绍了概率分布估计算法的核心——概率图模型；并重点介绍了其中的贝叶斯网络结构，它又称为信念网络，是一种图型化的模型，能够图形化地表示一组变量间的联合概率分布函数。
6. The improved EDA could take advantage of the randomness and ergodicity of chaos, which could solve the local minima problem of traditional EDAs.
由于改进EDA利用混沌运动的随机性和遍历性等特点在解空间内进行优化搜索，能够较好解决传统EDA易于陷入局部极小的缺陷。
7. And special learning that are used in neural networks broadly. In this approach, the inverse model of the plant is identi edas the initial controller rstly.
基于模糊树模型，结合神经网络中的逆向学习和专门化学习，提出了自适应直接逆控制方法。
8. In recently years, EDAs have become a hot topic in field of evolutionary computation, which attract a large number of scholars carried on the theoretical research and application of optimization about them.
分布估计算法经提出以后，迅速成为进化计算领域的研究热点，大量学者对其进行了理论研究和优化应用。
9. The results of Auger Electron Spectroscopy (AES) and Energy Dispersive Analysis X-ray Spectroscopy (EDAS) measurements show that the interface layer contains Au-Ga intermetallic compound and impurity P, Si.
借助俄歇能谱（AES）和能量色散谱（EDAS）初步分析了Au-Si/n-GaP系统接触的界面含有Au-Ga金属间化合物以及P和Si杂质。
10. EDAS是什么意思
10. Digital transformation of tiltmeter with edas-3 data acquisition equipment
用EDAS-3型数据采集器对倾斜仪进行数字化改造
11. Ingenuity of Digital Craft: Epistemological Reflection on Digital Form Making DIGITAL TRANSFORMATION OF TILTMETER WITH EDAS-3 DATA ACQUISITION EQUIPMENT
数字化的意匠&数字化设计与造型的认知学反思用EDAS-3型数据采集器对倾斜仪进行数字化改造
12. This study showed that cortical microvascular density of patients with MMD was rank correlation with improvement of clinical symptoms, improvement of cerebral metabolism, and the extent of revascularization after EDAS.
本研究显示MMD患者皮层微血管密度与EDAS术后患者临床症状改善程度、脑代谢改善程度、手术血管重建情况间存在等级相关关系。
13. In this thesis, we propose a general ap-proach to analyzing the time complexity of EDAs.
本文为分布评估算法的时间复杂度分析提出一种一般性的研究思路。
14. Application of EDAS Software System in Study on NBR Compounding
EDAS软件系统在丁腈橡胶配方研究中的应用
15. Estimation of distribution algorithms (EDAs) are a new kind of colony evolution algorithms, through counting the excellent information of the individuals of present colony EDAs construct a probability distribution model, then sample the model to produce the next generation.
分布估计算法是一种新的基于种群进化的算法，它通过统计当前群体中较优个体的信息构建其概率分布模型，然后对模型进行抽样生成下一代群体。
16. Estimation of distribution algorithms (EDAs) are a type of evolutionary algorithms based on probability models. Because of the excellent performance of EDAs on optimization problems and the model interpretation, EDAs are receiving more interest in recent years.
分布估计算法（EstimationofDistributionAlgorithms，EDAs）是一类以概率模型为基础的进化算法，由于其突出的问题优化能力与模型的解释能力，近年来这类算法也受到了广泛的关注。
17. Estimation of distribution algorithm (EDA) is a new class of evolutionary algorithms, which combines the statistic theory with evolutionary schemes.
分布估计算法（EDAs）通过将统计学习理论与进化算法结合，形成一种全新的进化模式，是进化计算领域的研究热点。
18. Estimation of Distribution Algorithms (EDAs) are new evolutionary algorithms based on probabilistic model and have become a new focus in the field of evolutionary computation.
分布估计算法由于其较强的理论基础已成为进化计算研究的新热点。
19. They are sequentially the introduction, literature review, the theoretical framework for this thesis, the contrastive analysis of appraisal resources in EDAs and CDAs and the conclusion.
依次为引言、文献综述、论文理论框架、评价理论下中英文约会广告的评价资源对比分析和文章结论。
20. However, most investigations were carried out on the basis of empirical observations. Although some scholars have concerned the convergence properties of EDAs, there is no investigation that analyzes successfully the time complexity of population-based EDAs by rigorous mathematical discussions.
虽然有少量研究者关注种群分布评估算法的收敛性，但还没有研究者成功地对这类算法的时间复杂度进行过严密的理论研究。
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