∑~2全文数据库模型算法和应用

在简单介绍∑~２矩阵模型的基础上,以一个应用实例为对象,对∑２矩阵模型的建立、查询等方面进行了较为详细的讨论,提出一些可能遇到的问题和困难,并同时给出了一些解决方法和策略．     

坦克炮控系统的模糊滑模控制系统设计和分析

主要针对坦克炮控系统这一包含非线性和不确定性的复杂系统,提出了一种新的模糊滑模控制算法.该算法将模糊逻辑和变结构控制结合起来,利用模糊方法,在切换面临近的一个薄边界层内对控制的不连续性加以平滑,以减弱变结构控制产生的抖振.本文还对控制系统稳定性进行了分析,并给出了用MATLAB仿真的结果及实验结果.     

基于增强型算法并能自动生成规则的模糊神经网络控制器

给出了一种基于增强型算法并能自动生成控制规则的模糊神经网络控制器RBFNNC（reinforcements based fuzzy neural network comtroller）。该控制器能根据被控对象的状态通过增强型学习自动生成模糊控制规则,RBFNNC用于倒立摆小车平衡系统控制的仿真实验表明了该系统的结构及增强型学习算法是有效和成功的。     

可用于人脸识别的反馈型二元神经网络

提出和分析了一种新型的反馈型随机神经网络,并将其用于解决复杂的人脸识别问题.该模型采用随机型加权联接,神经元为简单的非线性处理单元.理论分析揭示该网络模型存在唯一的收敛平稳概率分布,当网络中神经元个数较多时,平稳概率分布逼近于Boltzmann-Gibbs分布,网络模型与马尔可夫随机场之间存在密切关系.在设计了一种新型模拟退火和渐进式Boltzmann学习算法后,系统被成功地应用于难度较大的静态和动态人像识别,实验结果证实了系统的可行性和高效率.     

基于B/S的能源管控系统的设计与实现

分析了企业目前能源计量与管理方法,提出了基于网络和WEB技术的能源管控系统的设计方案,并阐述了其系统的组成:它包括能源数据采集子系统、计算机网络子系统和能源监控与管理子系统。利用工业控制计算机和OPC技术组成基于RS—485串行通信的采集子系统;利用WEB服务器、历史/实时数据库服务器和浏览器组成基于以太网的能源监控与管理系统。     

A discriminative learning framework with pairwise constraints for video object classification

To deal with the problem of insufficient labeled data in video object classification, one solution is to utilize additional pairwise constraints that indicate the relationship between two examples, i.e., whether these examples belong to the same class or not. In this paper, we propose a discriminative learning approach which can incorporate pairwise constraints into a conventional margin-based learning framework. Different from previous work that usually attempts to learn better distance metrics or estimate the underlying data distribution, the proposed approach can directly model the decision boundary and, thus, require fewer model assumptions. Moreover, the proposed approach can handle both labeled data and pairwise constraints in a unified framework. In this work, we investigate two families of pairwise loss functions, namely, convex and nonconvex pairwise loss functions, and then derive three pairwise learning algorithms by plugging in the hinge loss and the logistic loss functions. The proposed learning algorithms were evaluated using a people identification task on two surveillance video data sets. The experiments demonstrated that the proposed pairwise learning algorithms considerably outperform the baseline classifiers using only labeled data and two other pairwise learning algorithms with the same amount of pairwise constraints.     

Bursting without slow kinetics: a role for a small world?

Bursting, a dynamical phenomenon whereby episodes of neural action potentials are punctuated by periodic episodes of inactivity, is ubiquitous in neural systems. Examples include components of the respiratory rhythm generating circuitry in the brain stem, spontaneous activity in the neonatal rat spinal cord, and developing neural networks in the retina of the immature ferret. Bursting can also manifest itself in single neurons. Bursting dynamics require one or more kinetic processes slower than the timescale of the action potentials. Such processes usually manifest themselves in intrinsic ion channel properties, such as slow voltage-dependent gating or calcium-dependent processes, or synaptic mechanisms, such as synaptic depression. In this note, we show rhythmic bursting in a simulated neural network where no such slow processes exist at the cellular or synaptic level. Rather, the existence of rhythmic bursting is critically dependent on the connectivity of the network and manifests itself only when connectivity is characterized as small world. The slow process underlying the timescale of bursting manifests itself as a progressive synchronization of the network within each burst.     

基于图像处理的显微外科手术质量评价研究*

目前显微外科手术质量评定仍采用测角计进行手工测量,测量中有一定的随意性,测量误差大。针对该问题,提出了应用图像处理技术对显微外科接指手术进行分析和质量评价的方法。通过与手工测量进行对比,图像处理方法评价客观,测量精度高,得到了满意的结果。     

基于Windows2000WDM模型的AD板采样驱动程序的设计

介绍了Windows2000操作系统下的WDM驱动程序基本设计方法,并以一款AD板为例给出了驱动入口点、创建和删除设备、硬件资源分配和访问、Win32应用程序接口等的具体实现,最后介绍了设备驱动程序的安装步骤。     

基于自然语言语义分析的Internet文件分类与过滤

网上文件过滤是网络信息安全研究的重要课题。传统的过滤方法简单地把关键字匹配作为分类的依据,常导致漏判误判等问题。文中提出一种基于自然语言理解的语义模板算法解决网上文件分类过滤的问题。实验结果表明该方法漏判误判率较低,是一种行之有效文件分类方法。