一类支持向量机在车辆识别中的应用

支持向量机分类方法已经在实际应用中显示了良好的学习性能,其最初是针对二值分类问题提出的.如何有效地将支持向量机推广到多值分类中一直是人们关注的课题.通常的多值分类问题是一系列二值分类来实现,可是这将导致较高的计算复杂性.本文将一类支持向量机推广到多值分类情况,并将其应用于车辆识别中.仿真实验结果表明了所给方法的可行性及有效性.     

SVR算法在指数预测中的应用研究

本文阐述了回归型支持向量机（SVR）的基本结构及训练方法,并在此基础上研究了基于SVR算法的股票指数预测方法。通过应用LS—SVM软件,选用RBF核函数。利用自学模型,对超参数不断进行优化,以加快运算速度,并最终建立了该算法应用于股市预测的模型。通过股票指数的建模与仿真结果表明,支持向量回归机在股票价格的中短期预测以及整体股票趋势预测有比较好的效果。     

An independent component analysis algorithm through solving gradient equation combined with kernel density estimation

A new algorithm for linear instantaneous independent component analysis is proposed based on max-imizing the log-likelihood contrast function which can be changed into a gradient equation. An iterative method is introduced to solve this equation efficiently. The unknown probability density functions as well as their first and second derivatives in the gradient equation are estimated by kernel density method. Computer simulations on artificially generated signals and gray scale natural scene images confirm the efficiency and accuracy of the proposed algorithm.     

冲击动力过程的无网格数值分析方法

应用再生核质点法实现了冲击过程的数值模拟．为解决冲击过程伴随的材料和几何非线性问题，数值分析中采用增量法．针对冲击速度较低的情况，假设冲击过程为小应变，并引入弹塑性增量本构关系，推导出冲击过程的再生核质点法计算控制方程．采用修正配点法，以满足其本质边界条件．数值模拟结果表明，实例中弹体变形分析结果与ANSYS有限元分析结果一致．     

波流作用下圆柱体入水特性的三维数值模拟研究

结构在实际海况中入水受到多种载荷的共同作用,同时还伴随波浪作用的影响,因此该过程是一个强非线性的过程。针对结构在波、流中入水过程的特点,将入射波(波、流)引入非线性双渐进法,研究三维刚体圆柱体在波、流及波流联合作用下入水过程运动响应及姿态的变化,计算结果与试验结果符合得较好,非线性双渐进法适用于分析三维刚体波、流中入水问题。结果表明在近波面附近,结构受波浪作用明显,入水相位、浪级、流速及波流速度矢量差异对结构入水运动速度及轨迹影响明显。     

基于SVM的船体外板冷弯回弹预测模型研究

研究方形压头非对压成形装置成形原理的基础上,分析准确预测回弹对板材数控冷弯成形的意义。针对预测样本较少的情况,采用支持向量机技术进行回弹预测分析,并对模型中的核函数及其损失函数参数ε和惩罚因子C进行分析研究,建立板厚与回弹量的预测模型,并将其预测结果与试验结果及采用BP神经网络预测结果进行比较验证其准确性,为船体外板数控成形加工解决回弹问题提出新的思路。     

Hunting stability analysis of high-speed train bogie under the frame lateral vibration active control

In this paper, we study a multi-objective optimal design of three different frame vibration control configurations and compare their performances in improving the lateral stability of a high-speed train bogie. The existence of the time-delay in the control system and its impact on the bogie hunting stability are also investigated. The continuous time approximation method is used to approximate the time-delay system dynamics and then the root locus curves of the system before and after applying control are depicted. The analysis results show that the three control cases could improve the bogie hunting stability effectively. But the root locus of low- frequency hunting mode of bogie which determinates the system critical speed is different, thus affecting the system stability with the increasing of speed. Based on the stability analysis at different bogie dynamics parameters, the robustness of the control case (1) is the strongest. However, the case (2) is more suitable for the dynamic performance requirements of bogie. For the case (1), the time-delay over 10?ms may lead to instability of the control system which will affect the bogie hunting stability seriously. For the case (2) and (3), the increasing time-delay reduces the hunting stability gradually over the high-speed range. At a certain speed, such as 200?km/h, an appropriate time-delay is favourable to the bogie hunting stability. The mechanism is proposed according to the root locus analysis of time-delay system. At last, the nonlinear bifurcation characteristics of the bogie control system are studied by the numerical integration methods to verify the effects of these active control configurations and the delay on the bogie hunting stability.     

Revisiting the application of simultaneous perturbation stochastic approximation towards signal timing optimization

Simultaneous Perturbation Stochastic Approximation (SPSA) has gained favor as an efficient optimization method for calibrating computationally intensive, “black box” traffic flow simulations. Few recent studies have investigated the efficiency of SPSA for traffic signal timing optimization. It is important for this to be investigated, because significant room for improvement exists in the area of signal optimization. Some signal timing methods and products perform optimization very quickly, but deliver mediocre solutions. Other methods and products deliver high-quality solutions, but at a very slow rate. When using commercialized desktop signal timing products, engineers are often forced to choose between speed and solution quality. Real-time adaptive control products, which must optimize timings within seconds on a cycle-by-cycle basis, have limited time to reach a high-quality solution. The existing literature indicates that SPSA provides the potential for upgrading both off-line and on-line solutions alike, by delivering high-quality solutions within seconds. This article describes an extensive set of optimization tests involving SPSA and genetic algorithms (GAs). The final results suggest that GA was slightly more efficient than SPSA. Moreover, the results suggest today's signal timing solutions could be improved significantly by incorporating GA, SPSA, and “playbooks” of preoptimized starting points. However, it may take another 5–10 years before our computers become fast enough to simultaneously optimize coordination settings (i.e., cycle length, phasing sequence, and offsets) at numerous intersections, using the most powerful heuristic methods, at speeds that are compatible with real-time adaptive solutions.     

Numerical investigation of the collapse pressure of concentric tubes with frictionless and tied interface

The understanding and study of the mechanical behavior of submarine pipes have significant relevance in ocean exploration, allowing the application of these structures in adverse conditions. In this sense, protecting the tube's internal surface is vital for the transportation of corrosive materials, threatening structural integrity. Usually, the external surface is at constant hydrostatic pressure, leading to possible structural failure if the project does not consider all failure modes. Within the framework of Metallurgically Cladded Pipes (MCP) and Mechanically Lined Pipes (MLP), Corrosion-Resistant Alloys (CRAs) are inserted in the internal surface of pipelines. However, they are not typically deemed in the structural analysis as an integrant part of the mechanical resistance for the external load. This work presents an initial analytical proposal to calculate the collapse pressure of concentric tubes incorporating the rigidity provided by the CRA. Tied or frictionless numerical models are assumed to describe the interaction between the two bodies at the interface region. These two scenarios establish the upper and lower boundaries for cases where friction is part of the problem. The methodology applies a least-square minimization function based on nonlinear finite element simulations to extract analytical expressions that estimate the collapse pressure. An effort is made to reduce the number of sensitive parameters involved in the analytical proposals and minimize the complexity of the formulation. This process allows the analyst to visualize which parameters are more relevant in various scenarios. Nevertheless, the main goal is to evaluate how the variables are coupled and develop a methodology that can be adapted to reproduce the analyst's necessities.