多碎石条件下骨架密实型二灰碎石路用性能研究

骨架密实型多碎石二灰碎石混合料因具有粗集料形成紧密骨架结构,使多碎石条件下的二灰碎石混合料具有强度高的优点,其路用性能较高。     

非线性分式可加混料模型及其最优设计

针对在工业、医药学等方面生产试验广泛应用的混料模型提出非线性混料模型及其推广模型，并对非线性混料可加模型的C-最优设计提出利用切比雪夫点求驻点，用拉格朗日乘子法求最优权重的解决方案，最后给出精确D-最优设计．     

浅谈沥青混合料路面的早期病害及养护方法

结合多年来对城市道路的养护工作实践,介绍了沥青混合料路面的早期病害及养护方法及施工工艺,分析了沥青混合料路面常见的早期面层病害及处理方法。     

费米原子与玻色分子混合体系的相干态理论研究

以碱性费米金属原子气及其构成的玻色分子的混合体系为研究对象,利用量子方法研究此混合体系的相干态理论。研究结果表明,在绝对零度下,混合体系处在SU(2)SU(1,1)相干态,利用平均场近似以及李代数的方法计算体系的本征值,与玻戈留玻夫变换所得结果一致,它的优点在于不仅可以计算本征值而且可以给出态函数。     

复杂系统的可靠性模型及参数估计方法

目前可靠性研究大多是针对单个部件,即使是多部件系统,也是假设各部件相互独立且故障分布相同的情况.为了确定多部件组成、部件之间具有故障相关性、部件的故障分布不同或分布类型相同参数不同的复杂系统的可靠性模型,建立了非致命冲击威布尔混合模型,并提出了一种综合参数估计方法.通过对铁路机车柴油机进行应用验证,结果表明应用该模型和参数估计方法得到的拟和曲线较现有的方法更加符合原始的运行数据曲线.     

Maximum Likelihood A Priori Knowledge Interpolation-Based Handset Mismatch Compensation for Robust Speaker Identification

Unseen handset mismatch is the major source of performance degradation in speaker identification in telecommunication environments. To alleviate the problem, a maximum likelihood a priori knowledge interpolation （ML-AKI）-based handset mismatch compensation approach is proposed. It first collects a set of handset characteristics of seen handsets to use as the a priori knowledge for representing the space of handsets. During evaluation the characteristics of an unknown test handset are optimally estimated by interpolation from the set of the a priori knowledge. Experimental results on the HTIMIT database show that the ML-AKI method can improve the average speaker identification rate from 60.0% to 74.6% as compared with conventional maximum a posteriori-adapted Gaussian mixture models. The proposed ML-AKI method is a promising method for robust speaker identification.     

沥青混合料拌和楼溢料控制技术探讨

通过对沥青拌和楼秤料过程特点的描述与分析,结合试验数据,论述了如何控制拌和楼及原材料,从而达到拌和楼溢料最少,且又能保证成品料具有良好级配的目的。     

关于motif识别的一个更精确的混合模型

Bailey和Elkan（1994）提出了MEME算法进行motif识别．在这个算法中他们用一个二元混合模型来拟合生物序列．但是他们的模型不能准确的描述实际的情况．该文给出了一个多元混合模型，这个模型能更好的描述生物序列的实际情况，还讨论了在这个模型下用EM算法求参数的公式．     

纤维沥青混合料技术经济分析与比较研究

纤维加入沥青混合料中可以提高高温性能，增强抗裂能力，尤其可有效阻止或延缓反射裂缝的开展，使路面的使用寿命得以延长，但有些纤维价格昂贵，使工程初期建设投资增加较多，这使许多单位对使用纤维加强技术心存疑虑，文中通过比较分析，给出相应的建议。     

Comparing Small‐ and Large‐Scale Models of Multicategory Buying Behavior

Focusing on the interdependence of product categories we analyze multicategory buying decisions of households by a finite mixture of multivariate Tobit‐2 models with two response variables: purchase incidence and expenditure. Mixture components can be interpreted as household segments. Correlations for purchases of different categories turn out to be much more important than correlations among expenditures as well as correlations among purchases and expenditures of different categories. About 18% of all pairwise purchase correlations are significant. We compare the best‐performing large‐scale model with 28 categories to four small‐scale models each with seven categories. In our empirical study the large‐scale model clearly attains a better forecasting performance. The small‐scale models provide several biased correlations and miss about 50% of the significant correlations which the large scale model detects. Copyright © 2013 John Wiley & Sons, Ltd.