模糊神经网络在发动机怠速控制中的应用

讨论了发动机怠速控制方法,对用模糊控制，BP神经网络控制方法进行了深入研究，给出了模糊控制和PID调节在怠速控制上的对比及BP神经网络用于学习模型控制器的输入与输出之间的函数关系，以取代模数控制规则表。在BP网络的训练过程，采用了自调整的学习算子以加速收敛，并给出了仿真结果。     

基于BP神经网络的某型发动机万有特性实验数据拟合

介绍了BP神经网络的基本原理,借助Matlab软件的BP神经网络工具箱函数,通过建立相应的BP网络模型,对某型发动机的万有特性实验数据进行拟合,并将拟合结果与实测值进行比较。研究表明,采用BP神经网络拟合发动机万有特性数据,能取得较高的精度。     

Simultaneous optimization of transit line configuration and passenger line assignment

Passenger transportation in most large cities relies on an efficient mass transit system, whose line configuration has direct impacts on the system operating cost, passenger travel time and line transfers. Unfortunately, the interplay between transit line configuration and passenger line assignment has been largely ignored in the literature. This paper presents a model for simultaneous optimization of transit line configuration and passenger line assignment in a general network. The model is formulated as a linear binary integer program and can be solved by the standard branch and bound method. The model is illustrated with a couple of minimum spanning tree networks and a simplified version of the general Hong Kong mass transit railway network.     

公路工程质量鉴定计算程序应用

公路工程质量鉴定工作中,有关数据整理及计算过程比较繁琐。但如果通过运用自行编制的计算程序,能够大大简化计算过程,缩短工作时间,从而提高工作效率。     

计算机仿真技术在ABS中的应用

随着计算机技术的发展,建模和仿真在汽车发展领域有了广泛的应用。ABS作为汽车主动安全领域重大发明,提高汽车的制动稳定性同时缩短制动距离,为驾驶员和乘客提供了安全可靠的保护。文中采用计算机仿真软件Matlab/Simulink对起初ABS进行了建模和仿真,得出了仿真曲线,验证了汽车防抱死制动系统具有优良的方向操纵性和制动效能。     

基于Matlab GUI平台的桥梁桩基承载力计算系统

桥梁桩基承载力计算在整个下部结构计算过程中占有非常重要的地位,结合《公路桥涵地基与基础设计规范》（JTGD63-2007）对摩擦桩计算的规定,利用Matlab强大的数学分析功能进行求解,并利用Matlab的GU（IGraphical User Interface）编制了相应的计算程序,在程序中输入相应钻孔的地质信息、桩基设计尺寸和不同工况下的荷载信息,程序就能得到计算结果;通过一个工程实例计算表明,利用本程序计算得到的桩端承载力结果,满足经济、安全的需要,具有很强的工程应用价值。     

《电子CAD》课程教学改革与实践

根据职业岗位能力分析设计<电子CAD>课程教学模式,以项目为载体实施教材改革,以工学结合和开放式课堂实施实践教学改革,旨在提高学习兴趣,学以致用,缩短课堂与企业的距离.     

Biofuel refinery location and supply chain planning under traffic congestion

This research focuses on planning biofuel refinery locations where the total system cost for refinery investment, feedstock and product transportation and public travel is minimized. Shipment routing of both feedstock and product in the biofuel supply chain and the resulting traffic congestion impact are incorporated into the model to decide optimal locations of biofuel refineries. A Lagrangian relaxation based heuristic algorithm is introduced to obtain near-optimum feasible solutions efficiently. To further improve optimality, a branch-and-bound framework (with linear programming relaxation and Lagrangian relaxation bounding procedures) is developed. Numerical experiments with several testing examples demonstrate that the proposed algorithms solve the problem effectively. An empirical Illinois case study and a series of sensitivity analyses are conducted to show the effects of highway congestion on refinery location design and total system costs.     

A mixed-integer linear program for optimizing sensor locations along freeway corridors

How to optimally allocate limited freeway sensor resources is of great interest to transportation engineers. In this paper, we focus on the optimal allocation of point sensors, such as loop detectors, to minimize performance measurement errors. Although it has been shown that the minimization problem can be intuitively formulated as a nonlinear program, the formulation is so complex that only heuristic approaches can be used to solve the problem. In this paper, we transform the nonlinear program into an equivalent mixed-integer linear model. The linearized model is shown to have a graphical interpretation and can be solved using resource constrained shortest path algorithms. A customized Branch-and-Bound technique is then proposed to solve the resource constrained shortest path problem. Numerical experiments along an urban freeway corridor demonstrate that this sensor location model is successful in allocating loop detectors to improve the accuracy of travel time estimation.     

突发事件下路网运行时间可靠性研究

对突发事件下的路网运行时间可靠性进行分析,从路段通行能力与运行时间关系的角度,对交通流量与运行时间关系进行讨论。在研究运行时间的均值、标准差等特征值在突发事件下变化的基础上,利用机会约束模型,建立异常状态下路网容量分析的非线性规划模型。实例分析结果表明,突发事件出现时路网运行时间可靠性与其承担的交通流量有直接的关系。