柔性结构神经网络分布式振动控制

提出采用分布式控制解决柔性结构振动问题,并且控制形式简单,便于控制力的实施。结合神经网络可以解决常规分布式控制难于解决的非线型耦合问题。神经网络采用非线性自回归移动平均移动方法,提高了神经网络的运算速度快。最后,在不同作动力情况下,将集中式神经网络控制和分布式神经网络分别采用相同的最大作动力对作动器/结构耦合系统进行控制。结果表明,分布式神经网络控制在采用较小的控制力情况下,取得了更好的控制效果。     

快速二阶BP神经网络在公路交通量预测中的应用

在二阶BP神经网络基础上加以改进，提出一种快速二阶BP神经网络，并将把该方法成功地用于公路交通量的预测中，通过与其它方法的比较分析，得出快速二阶BP神经网络预测方法加快了收敛速度，提高了结果的准确度，为科学地预测公路交通量提供了有力依据。     

基于贝叶斯网络的辐射源威胁等级评估算法

贝叶斯网络是近年来人工智能领域最重要的研究成果之一，在具有不确定性的推理和决策问题中得到了广泛的应用。以贝叶斯网络及其推理机制为基础，主要研究了贝叶斯网络在辐射源威胁等级评估方面的应用。选取了部分影响因素，建立了基于贝叶斯网络的辐射源威胁等级评估模型。最后通过一个计算机仿真实例验证了算法具有连续性和累积性，能够对辐射源威胁等级做出较准确评估。     

Simulation of the mean zero-up-crossing wave period using artificial neural networks trained with a simulated annealing algorithm

The aim of this work was to develop a predictive model to forecast the mean zero-up-crossing wave periods (T _z ) for 3-hourly sea states at a location in the Pacific using artificial neural networks (ANNs). Seven multilayer ANNs were trained with a simulated annealing algorithm. The output of each trained ANN was used to estimate each of the seven parameters of a new distribution called the hepta-parameter spline proposed for the conditional distribution of T _z , given some mean zero-up-crossing wave periods and significant wave heights. After estimating the parameters of the distribution, the model was used to simulate and predict future values of T _z . Forecasting a sea state and developing the joint distribution of sea state characteristics with the help of the simulated characteristics are also discussed in this article.     

浅论社会保障的利益激励机制及整合发展

本文阐述了建立社会保障机制的重要性及我国社会保障利益激励机制的建立途径。公平是社会保险制度的本质特征 ,而公平本身应该是保护与激励的统一 ,因此 ,社会保障制度就是兼顾保护与激励的公平 ,适度体现激励机制是现代社会保障制度发展的趋势     

Economic Viability of Mega-size Containership in Different Service Networks

The mega-size containership viability was analyzed by considering different service networks for different ship sizes: hub-and-spoke and multi-port-calling (MPC) networks for mega-size containerships and conventional ships. A model was proposed, which quantifies the economies of scale in operating large con- tainerships and constructs models for ship routing under different service networks. A sensitivity analysis was conducted to test the effect of feeder costs and the results analyzed to determine optimal containership size with respect to different operational scenarios. Throughout model applications for Asia-Europe and Asia-North America trades, the mega-size containership is competitive in all scenarios for Asia-Europe, while it is viable for Asia-North America only when the feeder costs are low.     

用GPS技术建立城市测量控制网的试验研究

本文以广德ＧＰＳ网为试验对象，对于中等精度ＧＰＳ测量的建网方法、基线向量的解算、卫星网与地面网的配置等问题进行了研究，取得了对生产实践有益的结论。     

电铁监控系统通信网络及其智能通信设备的研究

本文通过对电气化铁道监控系统通信网络结构的分析，提出了适用的网络结构及其备用方式，设计了相应的智能通信设备，整个通信网络具有较高的性能价格比，同时使系统的可靠性和实时性得到很大提高。     

A NARX damper model for virtual tuning of automotive suspension systems with high-frequency loading

A computationally efficient NARX-type neural network model is developed to characterise highly nonlinear frequency-dependent thermally sensitive hydraulic dampers for use in the virtual tuning of passive suspension systems with high-frequency loading. Three input variables are chosen to account for high-frequency kinematics and temperature variations arising from continuous vehicle operation over non-smooth surfaces such as stone-covered streets, rough or off-road conditions. Two additional input variables are chosen to represent tuneable valve parameters. To assist in the development of the NARX model, a highly accurate but computationally excessive physical damper model [originally proposed by S. Duym and K. Reybrouck, Physical characterization of non-linear shock absorber dynamics, Eur. J. Mech. Eng. M 43(4) (1998), pp. 181–188] is extended to allow for high-frequency input kinematics. Experimental verification of this extended version uses measured damper data obtained from an industrial damper test machine under near-isothermal conditions for fixed valve settings, with input kinematics corresponding to harmonic and random road profiles. The extended model is then used only for simulating data for training and testing the NARX model with specified temperature profiles and different valve parameters, both in isolation and within quarter-car vehicle simulations. A heat generation and dissipation model is also developed and experimentally verified for use within the simulations. Virtual tuning using the quarter-car simulation model then exploits the NARX damper to achieve a compromise between ride and handling under transient thermal conditions with harmonic and random road profiles. For quarter-car simulations, the paper shows that a single tuneable NARX damper makes virtual tuning computationally very attractive.     

山区高速公路桥隧段行车安全评价模型研究

桥隧连接段属于道路环境突变段。研究表明在道路环境突变段所产生的交通事故多为恶性事故,为了改善桥隧段的行车安全,利用模糊理论的相关方法来评价桥隧段行车的安全性,并在计算隶属函数隶属度的时引入人工神经网络的相关理论,避免了确定隶属函数时的主观性和模糊性;在方法类型的角度,使用模糊理论来评价桥隧段行车的安全性,在评价时使用了多个层次、多个因素的分析方法,在解决道路行车安全评价时具有一定的优越性,使得评价更趋于精确,客观。