基于支持向量机的雷达弹道外推方法仿真研究

支持向量机是一种求解回归预测问题的优秀决策方法,具有坚实的理论基础和优秀的预测性能。为解决目前雷达弹道外推中存在的精度不高和不能有效识别弹道等问题,对基于支持向量机的雷达弹道外推方法进行了仿真设计,并通过仿真弹道模拟雷达采样,进行了仿真实验。仿真实验结果表明:基于支持向量机的雷达弹道外推方法实用可行,可以获得较高的外推精度,并且能够有效地进行弹道识别。     

支持向量机在弹药训练消耗量预测中的应用

针对部队平时弹药训练消耗量预测过程中,样本采集数目较少的实际情况,采用了一种新的预测方法———支持向量机。该方法基于统计学习理论的原理,较好地解决了小样本的学习问题。并以某部队1997—2002年弹药训练消耗量为学习样本,建立了弹药年消耗量的预测模型。计算结果表明,这种方法比传统的方法有更少的误差和更好的预测精度。     

Two‐agent scheduling on a single sequential and compatible batching machine

We study two‐agent scheduling on a single sequential and compatible batching machine in which jobs in each batch are processed sequentially and compatibility means that jobs of distinct agents can be processed in a common batch. A fixed setup time is required before each batch is started. Each agent seeks to optimize some scheduling criterion that depends on the completion times of its own jobs only. We consider several scheduling problems arising from different combinations of some regular scheduling criteria, including the maximum cost (embracing lateness and makespan as its special cases), the total completion time, and the (weighted) number of tardy jobs. Our goal is to find an optimal schedule that minimizes the objective value of one agent, subject to an upper bound on the objective value of the other agent. For each problem under consideration, we provide either a polynomial‐time or a pseudo‐polynomial‐time algorithm to solve it. We also devise a fully polynomial‐time approximation scheme when both agents’ scheduling criteria are the weighted number of tardy jobs.     

电磁振动给料机的研究与制造

利用振动原理,研究、设计、制造微型电磁振动给料机（筛）．设计了激磁铁芯、半波可控硅整流及控制电路．在对振动机械的隔振分析及优化设计理论的基础上,设计了整部机器的结构图纸,并制造了一部样机,给出了振动利用的一个范例．所研究制造的微型电磁振动机集机电为一体,在焊接、制药等诸多行业中具有广泛的应用价值．     

引信传爆管旋卸头设计

引信传爆管的旋卸是勤务处理中的一个重要问题。旋卸时,传爆管无法卸下和传爆管受损的情况时有发生。针对这一问题和引信自动分解的要求,将传爆管分为槽型、孔型、锁紧螺母和光滑圆柱面型等三种类型,相应地设计了刀片型、卡针型和卡爪型三种旋卸头,重点研究了卡爪型及其卡爪曲线设计计算方法。试验表明三种旋卸头均工作可靠。     

平面磨削精度控制的一种方法

分析了利用砂轮周边进行平面磨削加工产生形状误差的原因之一。即待加工表面的形状变化引起磨削力的变化,从而引起工艺系统的弹性变形的变化,这种变形最终导致工件产生形状误差。提出了解决这一问题的技术途径和方法,即将待加工表面分解成若干小块,对每一小块根据其形状进行分析,找出其磨削力的变化规律,然后用程序控制工件速度,从而保持磨削力近似不变,并总结了应用该方法的步骤。举例说明了应用该方法所取得的结果是:磨削平面的精度提高到原来的5倍,加工时间缩短到约为原来的一半。     

智能工具机的性能分析

本文论述了提高智能工具机性能所采取的技术措施,并对其性能进行了模拟。模拟结果表明,智能工具机的平均推理速度可达500KLIPS 左右,比日本的PSI—Ⅰ约快一倍,比美国加州大学Berkeley 分校研制的PLM 约快两倍。     

后勤保障指挥决策系统结构设计研究

军队后勤保障指挥决策系统是高技术局部战争后勤保障的中枢,科学合理构 建系统的结构是提高决策系统质量的关键,针对该系统大范围多领域的分布式特征,引入了 化学抽象机对系统结构进行形式化、规范化描述,可以清楚的反映系统的静态和动态特征, 对后勤"可视化"研究具有一定的指导意义。     

基于支持向量机的飞机备件需求预测

支持向量机是一种机器学习算法,在国外已广泛应用于工程实践领域。首先探讨了支持向量机回归预测模型的学习和预测机制,分析其中三个重要参数对算法的影响规律,得出一套定性的参数选择方法,然后将支持向量机引入到装备综合保障分析之中,构建了飞机备件智能预测模型,并对某型军用飞机备件需求进行了预测和分析,结果表明:基于支持向量机的备件需求预测是有效的、可行的。     

Scheduling jobs and maintenance activities on parallel machines

Most machine scheduling models assume that the machines are available all of the time. However, in most realistic situations, machines need to be maintained and hence may become unavailable during certain periods. In this paper, we study the problem of processing a set of n jobs on m parallel machines where each machine must be maintained once during the planning horizon. Our objective is to schedule jobs and maintenance activities so that the total weighted completion time of jobs is minimized. Two cases are studied in this paper. In the first case, there are sufficient resources so that different machines can be maintained simultaneously if necessary. In the second case, only one machine can be maintained at any given time. In this paper, we first show that, even when all jobs have the same weight, both cases of the problem are NP-hard. We then propose branch and bound algorithms based on the column generation approach for solving both cases of the problem. Our algorithms are capable of optimally solving medium sized problems within a reasonable computational time. We note that the general problem where at most j machines, 1 ≤ j ≤ m, can be maintained simultaneously, can be solved similarly by the column generation approach proposed in this paper. © 2000 John Wiley & Sons, Inc. Naval Research Logistics 47: 145–165, 2000