公交客流预测的神经网络模型

通过分析神经网络的作用机理和公交年客流量的影响冈素,以城市人口、居民收入、生产总值等9个因素作为输入神经元,输出神经元为每年的公交客流量,建立了公交客流预测的径向基神经网络模型(RBF)和BP神经网络模型,以合肥市公交量的调查数据为例,对网络进行学习与训练仿真实验,结果表明所建模型具有较高的预测精度,效果较好.     

平飞模式双站SAR运动补偿研究

机载双站SAR收、发分置,收、发平台产生的运动误差是独立的,增加了双站SAR运动补偿技术的复杂性.文中建立了平飞模式的双站SAR运动误差模型,在双站模型等效到单站的基础上,对双站SAR运动补偿方法进行了研究,基于模型等效的思路提出了基于回波数据运动补偿的方案.并讨论了PGA自聚焦算法的可行性,给出了相应的计算机仿真.     

基于物元分析的立交方案综合评价方法

针对立交方案的综合评价问题,利用物元分析理论进行研究,提出基于物元分析的立交方案综合评价方法.选取占地面积、通行能力、工程造价、施工难易程度等4大类13个指标作为评价因子,将方案分为优、良、中、一般4个等级,通过确定待评物元、建立节域物元矩阵、经典域物元矩阵,计算各评价因子权重和综合关联隶属度,得到不同方案及各评价因子对4个级别的隶属程度,通过比较选出了整体最优方案.结果表明,将物元分析理论用于立交方案的比选是可行的,不但能够比选出整体最优方案,而且能够分析出各评价因子之间的细微差别,具有较高的精确度.     

A novel approach to design robust fault detection filter for networked control systems

In this paper, an approach for designing robust fault detection filter (RFDF) of networked control systems (NCSs) with unknown inputs is studied. The design aims at implementing the optimal trade-off between robustness of unknown inputs (including the item produced by networked-induced delay) and sensitivity of fault. The key design issue is to introduce an optimal fault detection filter based on NCSs with the control law compensation as the reference residual model of NCSs and to formulate the RFDF design as a model-matching problem. By applying H _∞ optimization technique, linear matrix inequality (LMI) approach is given to solve the model-matching problem. The validity of the proposed approach is shown by a numerical example.      

基于转角的电动助力转向系统回正性能控制

针对电动助力转向系统回正效果不理想,通过设计新型转角传感器以及扭矩传感器,采用了基于微处理器控制的回正控制单元和硬件,能够很好的实现转向系统回正.在实验台上进行的在线仿真和实验也表明,在设置不同的阻力环境和车速,转向系统都能够较好的识别,并实施回正和阻尼控制.     

提高水泥混凝土路面施工质量的措施

为了能更好地控制好水泥混凝土路面的质量,笔者以大连至庄河高速公路十号路互通立交收费站水泥混凝土路面工程为例,总结了确保水泥混凝土路面施工质量的关键技术。     

论大学核心价值体系的理论模型及实证研究

本文通过对影响大学核心价值体系因子的梳理,利用层次分析法(AHP)对影响五大价值传播渠道的主要因子进行了详细界定,通过专家调查法确定了各因子相对于上层因子的权重,建立起大学核心价值体系(建设)完善度的数学评估模型.利用该评估模型对上海交通大学进行的实证研究,提供了大学核心价值体系建设方面的具有可操作性的建议.     

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针对台风、飓风等可预报自然灾害,在其登陆城市之前一定的安全时限内,大规模区域路网疏散的交通管理问题进行了研究。基于最优化理论与微观交通仿真相结合的方法,构造了面向区域疏散交通管理的双层建模框架。上层模型（最优化层）以修正元胞传输理论为基础,构建了适用于大规模路网疏散的交通管理方案优化模型,其输出的疏散交通管理策略备选集合,输入到下层模型（微观交通仿真模型）中,从而在微观层面考察驾驶员行为反应等上层模型难以捕捉的疏散特性,进而制定最优的疏散交通管理方案。案例分析的结果表明,该框架兼具最优化方法与微观交通仿真方法的双重优点,能够较好地服务于区域疏散交通规划与具体的区域疏散交通管理实践。     

Union examination of AFP, AFU, AFPL3 and γ-GT in early diagnosis of primary liver cancer

Objective To explore the significance of union examination of blood serum liver cancer tracers in the early diagnosis of liver cancer. Methods We observed and compared the level of blood serum liver cancer tracers armor embryo protein (AFP), crag algae glycosidase (AFU), armor embryo protein heteroplasmon (AFPL3) andγ-Gu Anxian transferase (γ-GT) in early time for primary liver cancer patients and hepatitis liver cirrhosis patients and those chronic hepatitis B patients who had liver cancer family history. Results Finally among the 30 patients in the early liver cancer group, 23 were positive with AFP, 20 with AFU, 15 with AFPL3 and 21 with γ-GT. Five were found positive with blood serum AFP, AFPL3, AFU and γ-GT at the same time; 5 with AFP, AFPL3 and γ-GT; 5 with AFP, AFU and AFPL3; 7 with AFP, AFU andγ-GT. By contrast, in the control group, among the 30 hepatitis liver cirrhosis patients and those chronic hepatitis B patients with liver cancer family history, 11 were found positive with AFP, 3 with AFPL3, 12 with AFU and 14 with γ-GT. None of the patients were found positive with union examination of AFP, AFPL3, AFU and γ-GT in the blood serum at the same time. Conclusion The union examination of AFP, AFU, AFPL3 and γ-GT is significant to the early diagnosis of primary liver cancer.