普陀区静态交通规划构想

面对日益突出的城市静态交通问题,针对普陀区所处的地理位置和发展形势,提出了在普陀区实施静态交通规划(包括技术路线、政策研究及相关的经济分析方法)的初步构想。     

像增强型夜视系统的图像信息传递

在分析了像增强夜视系统信息传递的基础上，指出像增强器输出端荧光屏至人眼的图像传递过程，构成了像增强夜视系统信息传递量的限制．提出了采用系统信息传递量作为夜视系统设计与评价的方法，利用这种方法可以发现在像增强器增益足以补偿光谱选道衰减的条件下，采用彩色像增强可以大幅度增加夜视系统传输的信息量．     

抗洪抢险措施及效果

结合“９８”抗洪抢险实例，对多种险情作了具体分析，通过汛后调查，对抗洪抢险消险措施和效果进行了总结，为今后进一步做好防洪消险工作提供了经验。     

Kinetics of two-step anionic polymerization

This article deals with the kinetics of two-step anionic polymerization by way of a non-steady state method. Several molecular parameters can be evaluated using the formulae developed. A bimodal molecular weight distribution function for the resulting polymer is derived from the set of kinetic differential equations, which is in agreement with the experimental data reported.     

Neural networks for nonlinear state estimation

Estimating the state of a nonlinear stochastic system (observed through a nonlinear noisy measurement channel) has been the goal of considerable research to solve both filtering and control problems. In this paper, an original approach to the solution of the optimal state estimation problem by means of neural networks is proposed, which consists in constraining the state estimator to take on the structure of a multilayer feedforward network. Both non-recursive and recursive estimation schemes are considered, which enable one to reduce the original functional problem to a nonlinear programming one. As this reduction entails approximations for the optimal estimation strategy, quantitative results on the accuracy of such approximations are reported. Simulation results confirm the effectiveness of the proposed method.     

关于可分2－D系统的几个注记

可分２－Ｄ系统是一类具有良好特性的重要的特殊２－Ｄ系统，它在多方面均有重要的应用．本文在已有结果的基础上对具有可分性的２－Ｄ多输入多输出系统在再实现问题、渐近稳定性代数判据、状态观测器设计等方面进行了较为广泛的研究，得到了许多较好的结果．     

固相缩聚共聚酯的熔融行为和结晶速率研究

通过固相缩聚合成了两种不同结构的高分子量共聚酯，研究了样品的熔融行为和结晶速率。研究发现，共聚酯的熔融峰随着固相聚合温度和时间的变化而与纯ＰＥＴ有明显的差别，共聚酯泊结晶速率与慢于纯ＰＥＴ的结晶速率。     

红外热图技术在气功研究中的应用

本文用红外技术研究发功时上肢体表温度变化的特点和它的规律。     

纳米级BaAl_2O_4微粉的制备和性质

分别用溶胶 -凝胶法、低温固相反应法 ,制得了纳米级BaAl2 O4微粉 ,用电镜观察了其形貌和粒径的大小 ,用X-射线衍射仪进行了物相分析 ,测定了其纯度与晶型 ,讨论了制备方法与粒度大小的相互影响     

Design and Implementation of a Flexible Manufacturing Control System Using Neural Network

Design and implementation of a sequential controller based on the concept of artificial neural networks for a flexible manufacturing system are presented. The recurrent neural network (RNN) type is used for such a purpose. Contrary to the programmable controller, an RNN-based sequential controller is based on a definite mathematical model rather than depending on experience and trial and error techniques. The proposed controller is also more flexible because it is not limited by the restrictions of the finite state automata theory. Adequate guidelines of how to construct an RNN-based sequential controller are presented. These guidelines are applied to different case studies. The proposed controller is tested by simulations and real-time experiments. These tests prove the successfulness of the proposed controller performances. Theoretical as well as experimental results are presented and discussed indicating that the proposed design procedure using Elman's RNN can be effective in designing a sequential controller for event-based type manufacturing systems. In addition, the simulation results assure the effectiveness of the proposed controller to outperform the effect of noisy inputs.