Solving generalized transportation problems via pure transportation problems

This paper investigates certain issues of coefficient sensitivity in generalized network problems when such problems have small gains or losses. In these instances, it might be computationally advantageous to temporarily ignore these gains or losses and solve the resultant “pure” network problem. Subsequently, the optimal solution to the pure problem could be used to derive the optimal solution to the original generalized network problem. In this paper we focus on generalized transportation problems and consider the following question: Given an optimal solution to the pure transportation problem, under what conditions will the optimal solution to the original generalized transportation problem have the same basic variables? We study special cases of the generalized transportation problem in terms of convexity with respect to a basis. For the special case when all gains or losses are identical, we show that convexity holds. We use this result to determine conditions on the magnitude of the gains or losses such that the optimal solutions to both the generalized transportation problem and the associated pure transportation problem have the same basic variables. For more general cases, we establish sufficient conditions for convexity and feasibility. © 2002 Wiley Periodicals, Inc. Naval Research Logistics 49: 666–685, 2002; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/nav.10034     

一种控制系统的综合故障诊断方法

提出了一种控制系统的综合故障诊断方法 ,用以解决复杂系统的描述困难与诊断准确性问题。通过将控制系统故障检测与诊断分解为一个多层次的过程 ,综合应用因果网络方法与强跟踪滤波器方法 ,实现了两种方法优缺点的互补。仿真表明 ,该方法解决复杂控制系统故障检测与诊断问题是有效的     

基于BP神经网络的防空导弹火力单元阵地评价模型

建立了防空导弹阵地评价的指标体系。对应用人工神经网络解决防空导弹阵地评价的方法问题进行了探讨 ,并且给出了神经网络的评价模型及算法。实例证明该方法是可行的。     

基于BP神经网络的引进项目效益综合评价

一种新的基于BP神经网络方法用于综合评价引进项目的经济效益 .计算结果表明 ,与层次分析法相比较 ,这种方法可以作为研究此类问题的新途径 .     

神经网络中引入数值积分寻优法

本文提出了一种新的寻优方法———数值积分寻优法 ,将此方法应用于神经网络的学习算法中 ,构造了两个神经网络 ,它们与BP网络有相同功能 ,且不出现BP网络的局部极小问题 ,收敛速度比BP网快     

Optimal stopping in software testing

In this paper we address the problem of how to decide when to terminate the testing/modification process and to release the software during the development phase. We present a Bayesian decision theoretic approach by formulating the optimal release problem as a sequential decision problem. By using a non‐Gaussian Kalman filter type model, proposed by Chen and Singpurwalla (1994), to track software reliability, we are able to obtain tractable expressions for inference and determine a one‐stage look ahead stopping rule under reasonable conditions and a class of loss functions. © 2002 Wiley Periodicals, Inc. Naval Research Logistics, 2003     

一种基于模糊神经网络的非线性系统故障诊断方法研究

提出了一种基于模糊神经网络的非线性系统故障诊断方法.利用模糊C 均值聚类法对测量空间进行分割,再利用模糊规则对分割后的子空间分别采用BP网络进行逼近,从而获得不同子空间故障输出与测量输入的非线性动力学特性.计算机仿真表明该网络具有良好的泛化性能,方案可行.     

基于Petri网的某引信安全系统软件安全性分析

介绍了软件安全性和基于Petri网软件安全性分析技术。结合某导弹安全系统的实例,在系统Petri网模型的基础上运用逆向可达图回溯法及关键状态法对系统及其软件的设计进行了安全性分析,还考虑了系统运行时的动态时效对安全性的影响及相应的恢复措施。总结了基于Petri网的系统软件安全性分析的特点。     

软件测试方法综述

论述了软件测试技术近几年来研究的最新成果。包括软件的故障模型、白盒测试技术、黑盒测试技术、人工测试技术、可靠性测试技术和测试性设计技术等。以作为对近十几年来软件测试技术发展的总结,还初步的探讨了软件测试技术今后的发展。     

浅谈网络信息安全系统构建

网络信息安全已成为当今社会所面临的安全威胁之一,校园网、电子邮件系统、电子政务系统等等都存在不同程度的安全隐患,介绍了网络信息安全中存在的问题及应对对策,以不断提高全社会的信息安全意识和保障能力。