基于复合神经网络模型的四轮独立驱动电动车控制

针对四轮独立驱动电动车的运动控制，提出了一种基于Ackerman转向模型和神经网络方法的复合模型，用于对各个车轮转速进行仿真和控制。这种复合模型的特点是结构非常精简，其参数可用实际整车数据来直接整定，尤其适合于车辆的中低速运行控制。     

An Exploration of the Relationship between Timing and Duration of Maintenance Activities

The timing and duration of an activity episode are two important temporal aspects of activity-travel behavior. Understanding the causal relationship between these two variables would be useful in the development of activity-based travel demand modeling systems. This paper investigates the relationship between these two variables by considering two different causal structures – one structure in which time-of-day choice is determined first and influences duration and a second structure in which activity duration is determined first and affects time-of-day choice. These two structures are estimated within a discrete-continuous simultaneous equations framework employing a full-information maximum likelihood methodology that allows error covariance. The estimation is performed separately for commuter and non-commuter samples drawn from a 1996 household travel survey data set from the Tampa Bay area in Florida. The results of the model estimation effort show that the causal structure in which activity duration precedes or affects activity timing (time of day choice) performs better for the non-commuter sample. For the commuter sample, the findings were less conclusive with both causal structures offering equally good statistical measures of fit. In addition, for the commuter sample, all error correlations were found to be zero. These two findings suggest that time of day choice and activity episode duration are only loosely related for the commuter sample, possibly due to the relatively non-discretionary and inflexible work activity and travel.     

Hub location with flow economies of scale

A characteristic feature of hub and spoke networks is the bundling of flows on the interhub links. This agglomeration of flows leads to reduced travel costs across the interhub links. Current models of hub location do not adequately model the scale economies of flow that accrue due to the agglomeration of flows. This paper shows that current hub location models, by assuming flow-independent costs, not only miscalculate total network cost, but may also erroneously select optimal hub locations and allocations. The model presented in this paper more explicitly models the scale economies that are generated on the interhub links and in doing so provides a more reliable model representation of the reality of hub and spoke networks.     

以太网技术在机组控制中的应用

叙述了自动化机组控制技术的发展，及以太网技术应用于机组控制的必要性，可行性。     

基于模糊神经网络的既有钢筋混凝土桥梁构件可靠性评估

介绍了模糊神经网络的基本理论知识,根据其知识体系和既有桥梁可靠性的研究特点,结合相关文献的规定和研究成果,引入与所检测的截面裂缝宽度、应变值和应变值相关的评估参数Z,利用既有钢筋混凝土桥梁养护等级标准给出了构件技术状况等级与可靠指标的对应关系,然后根据模糊神经网络的理论优势,对输入变量(实测数据:裂缝宽度,应变值和应变值)进行训练,计算出构件在不同荷载作用下的可靠指标,其可用于既有桥梁结构构件可靠性评估中。并结合一实桥拆除构件的试验结果,得到了一些有益的结论,验证了本方法应用于既有钢筋混凝土桥梁构件可靠性评估的可行性。     

法国混合动力式AGC列车

介绍了法国混合动力式AGC列车的结构特点,以及运用前景.     

基于逻辑推演理论的船舶避碰决策

提出了研究船舶避碰决策的一个新方法,并把多逻辑系统作用的结构演化引入舰艇避碰决策系统,构建了船舶避碰决策系统逻辑推理的基本理论,指出了进一步的研究方向。     

船体大开口平直空腔结构总段吊装加强方案优化

为增强船体大开口平直空腔结构总段结构强度,结合船体总段结构特点、吊码布置情况和吊装加强方案建立有限元模型,采用数值仿真模拟总段吊装,分析甲板与吊码区域的结构变形。根据预报结果对吊装加强方案进行优化,可为后续类似结构的吊装加强方案优化提供一定指导。     

我国中小企业融资问题简论

融资困难是不同时期各国中小企业普遍面临的重要问题之一.本文通过中小企业与国有企业融资的对比分析,考察了我国中小企业融资困难的原因和相应策略.作者认为,中小企业自身发展的特点、融资渠道与融资风险、金融机构和社会服务体系等的综合作用是造成中小企业融资难的根本原因,而破解中小企业融资难的基本思路就在于政府、市场和中介组织的共同创新与发展.     

国有商业银行公司治理结构的有效性分析

国有商业银行的绩效取决于它是否建立了有效的公司治理结构。本文从有效公司治理机制的标准出发对国有商业银行的公司治理结构的有效性进行了分析,并从我国当前的经济、社会背景出发对国有商业银行公司治理结构失效的原因进行了分析,指出国有商业银行公司治理结构效率低下的根源在于产权主体缺位、市场竞争缺乏、法律制度的保护措施不力这几个方面的因素。