动态交通流量预测方法研究

随着智能运输系统的广泛应用,实时交通流量预测的重要性也日益显著。本文介绍了预测模型发展过程中比较重要的几个模型,并由此引出人工神经网络。介绍误差逆传播(BP)模型的相关理论。指出传统BP神经网络的缺陷,并提出提高预测精度的措施引进高阶神经网络。建立普通BP神经网络的预测模型,利用误差反传播算法实现这些影响因素到输出变量的复杂映射,再用高阶神经网络构建另一预测模型。利用交叉口实测数据进行预测,并用实际数据进行比较验证。     

J-Resolution Fields of Generalized Literals of L14 P（X）

Introduction In order to study the lattice-valued logic system,Xu[1]proposed the concept of lattice implication alge-bra by combining the lattice with the implication alge-bra and discussed its properties systematically. InRefs.[2,3], a lattice-valued propositional logic sys-tem was established using the concepts of free alge-bra, which corresponds to the lattice implication alge-bra, and the semantic and syntactical problems of thissystem were discussed. Xu et al[4]extended the reso-lution p…     

A latent variable representation of count data models to accommodate spatial and temporal dependence: Application to predicting crash frequency at intersections

This paper proposes a reformulation of count models as a special case of generalized ordered-response models in which a single latent continuous variable is partitioned into mutually exclusive intervals. Using this equivalent latent variable-based generalized ordered response framework for count data models, we are then able to gainfully and efficiently introduce temporal and spatial dependencies through the latent continuous variables. Our formulation also allows handling excess zeros in correlated count data, a phenomenon that is commonly found in practice. A composite marginal likelihood inference approach is used to estimate model parameters. The modeling framework is applied to predict crash frequency at urban intersections in Arlington, Texas. The sample is drawn from the Texas Department of Transportation (TxDOT) crash incident files between 2003 and 2009, resulting in 1190 intersection-year observations. The results reveal the presence of intersection-specific time-invariant unobserved components influencing crash propensity and a spatial lag structure to characterize spatial dependence. Roadway configuration, approach roadway functional types, traffic control type, total daily entering traffic volumes and the split of volumes between approaches are all important variables in determining crash frequency at intersections.     

Iterative Processes with Errors for Generalized Set-Valued φ-Hemi-contractive Mapping in Banach Spaces

Introduction Variational inequality is one of the most interest-ing and important mathematical problems and hasbeen studied intensively in the past years since theyhave wide applications to mechanics, physics, opti-mization and control, nonlinear programm…     

三维水弹性力学中的结构广义质量计算

该文给出了三维水弹性力学中弹性模态位移振型归一化时广义质量的计算方法,并应用三维有限元方法计算了箱式大型浮体结构的固有频率和广质量,经与均匀梁解析解的比较表明,两种方法差异不大,因此,采用均匀染解析解来计算这种结构的固有频率和广义质量是完全可行的,简化了计算工作。     

推广的Class K估计及其当截断分布已知时的大样本性质

本文提出 Ｔｕｒｎｂｕｌｌ型双侧截断数据线性回归参数的 ＣｌａｓｓＫ估计．并证明当截断变量的分布（简称为截断分布）已知时,该估计具有强相容性及渐近正态性     

广义CAPP系统

广义CAPP是根据工厂实际和信息需求分析提出的一种新概念。文中重点论述了广义CAPP的定义、系统的功能结构、关系模型和工作原理。它的实施不仅可弥补传统CAPP的功能不足之处,而且还可与相关的生产管理,材料管理和成本管理系统提供综合性信息服务,从而达到工厂总体最优化目标。因而它对我国CAPP系统的研究和发展具有一定的意义。     

Calculating the return value using a mathematical model of significant wave height

This study presents a new method for calculating return values. The essence of the method is that it utilizes nonstationary data to calculate the return value for a region in the Northeast Pacific. The nonstationary data was obtained from a model which was previously developed for the behavior of the significant wave height as a function of time in the region. The method is illustrated by convolving two generalized Pareto distribution functions fitted to two parts of the model, computing a suitable extreme value from the new distribution function, and calculating the return value using this extreme value.     

Improved Classification Approach via GEPSVM

A modified multisurface "proximal support vector machine classifier via generalized eigenvalues (GEPSVM for short)" was proposed. By defining a new principle, we designed a new classification approach via GEPSVM, namely, maximum or minimum plane distance GEPSVM (MPDGEPSVM). Unlike GEPSVM, our approach obtains two planes by solving two simple eigenvalue problems, such that it can avoid occurrence of singular problems. Our approach, compared with GEPSVM, has better classification performance. Moreover, MPDGEPSVM is over one order of magnitude faster than GEPSVM, and almost two orders of magnitude faster than SVM. Computational results on public datasets from UCI database illustrated the efficiency of MPDGEPSVM.     

利用Hurwitz代数判据研究磁浮系统Hopf分岔现象

针对磁浮列车的弹性耦合振动现象,建立基于简支梁的单点车轨耦合模型。有关研究表明,磁浮车轨耦合振动现象,对应于数学上常微分方程的Hopf分岔问题。然而经典Hopf分岔求解方法在高阶系统计算上并不实用,为此采取了Hurwitz代数判据方法进行计算来寻找Hopf分岔点,并由此计算出了耦合振动的频率,且对结果进行了仿真验证,对进一步设计消除耦合振动的控制方法具有重要价值。