编队舰炮对岸破坏射击表尺分配实用优化

为了克服舰炮最佳表尺分配决策难以实用化的难题,利用门限控制原理、最佳表尺均匀分配原理以及黄金分割搜索算法,提出简单且易于实用化的编队舰炮对岸破坏射击表尺分配优化算法,为相关领域研究提供参考意见。     

高速单体船航行性能与结构力学特征综合优化初步研究

建立高速单体船航行性能与结构力学特征综合优化的数学模型,将遗传算法改进成一种适应多目标和多约束的算法,并将其应用于高速单体船航行性能与结构力学特征综合优化计算问题,利用界面友好的VC 软件编程。优化结果表明,改进的遗传算法计算可靠、效率高,并为设计综合性能优良的高速单体船船型准备了良好的基础条件。     

支架形貌优化设计方法研究

提出一种基于形貌优化技术的支架加强筋布置方法,并以最优化某车载DVD支架总成第一阶固有频率为例,在Oplistruct软件中对该方法进行了实现.根据形貌优化分析结果布置该DVD支架加强筋后,DVD支架总成的第一阶固有频率增加了30%,改善效果明显.表明通过形貌优化方法可以快速、有效的获取支架加强筋的布置方案,该方法为支架加强筋的布置提供了新的途径.     

Web日志挖掘技术在电子商务网站优化中的应用

应用Web日志挖掘技术获取用户访问模式,对于电子商务网站的生存发展是十分有利的。Web日志挖掘可以帮助指导站点改进服务、调整结构和实施有针对性的、个性化的商业行为,以便更好的满足访问者的需要,从而提高网站交易的成功率。本文通过对Web日志挖掘的分析,提出了Web目志挖掘应用系统模型和相关的关键算法。实践证明,该模型和方法能够有效服务于网站优化     

矿料组成设计电算法

无论是沥青混凝土还是水泥混凝土,正确的矿料组成设计是保证其技术指标的重要环节。以往我们通常用试算法或图解法进行矿料组成设计计算,这些方法操作起来非常繁琐,而且不够精确。本文介绍的电算法,无论是计算理论配比,还是结合实际调整配比,应用起来都非常简便,只需按一下计算机运行键,电脑便会自动给出结果,而且可以根据求出的配比．绘制成级配曲线图形,这就使得我们的工作非常的简便、准确而且直观。     

掺加粉煤灰优化灌桩混凝土配比

粉煤灰在混凝土中的作用粉煤灰是燃烧煤粉后收集到的灰粒,其化学成分主要是SiO2（45%～65%）、Al2O3（20%～35%）及Fe2O3（5%～10%）和CaO（5%）等,粉煤灰掺入混凝土后,不仅可以取代部分水泥、降低混凝土的成本、保护环境．而且能与水泥互补短长,均衡协合．改善混凝土的一系列性能,粉煤灰混凝土具有明显的技术经济效益．     

Facility Layout Based on Sequence Analysis： Design of Flowshops

A computer-aided method to design a hybrid layout—tree-shape planar flowlines is presented. In newtype flowshop layout, the common machines shared by several flowlines could be located together in functional sections. The approach combines traditional cell formation techniques with sequence alignment algorithms. Firstly, a sequence analysis based cell formation procedure is adopted; then the operation sequences for parts are aligned to maximize machines adjacency in hyperedge representations; finally a tree-shape planar flowline will be obtained for each part family. With the help of a sample of operation sequences obtained from industry, this algorithm is illustrated.     

Outlier mining based abnormal machine detection in intelligent maintenance

Assessing machine’s performance through comparing the same or similar machines is important to implement intelligent maintenance for swarm machine. In this paper, an outlier mining based abnormal machine detection algorithm is proposed for this purpose. Firstly, the outlier mining based on clustering is introduced and the definition of cluster-based global outlier factor (CBGOF) is presented. Then the modified swarm intelligence clustering(MSIC) algorithm is suggested and the outlier mining algorithm based on MSIC is proposed. The algorithm can not only cluster machines according to their performance but also detect possible abnormal machines. Finally, a comparison of mobile soccer robots’ performance proves the algorithm is feasible and effective.     

Robust optimization for the correlated MIMO downlink with imperfect channel state information

To reduce the performance deterioration induced by imperfect channel state information (CSI) in cor-related multiple input multiple output(MIMO) downlink, the linear transmit/receive filters should be optimized to be robust to imperfect CSI. A sub-optimization algorithm based on minimizing sum MSE conditional on available imperfect CSI estimates subject to a per-user power constraint is proposed. The algorithm adapts the existing MMSE algorithm from uncorrelated single-user MIMO system with perfect CSI to correlated MIMO downlink with imperfect CSI. Simulation shows that the suboptimal algorithm can effectively mitigate the performance loss induced by imperfect CSI and has a good convergence performance. In addition, the effect of spatial correlation on the performance of the proposed algorithm is also simulated.     

基于Double-Bagging决策树的基因微阵列数据研究

Bagging通过组合不稳定的分类器在很大程度上降低了弱学习算法的分类误差.基于Torsten等人提出的Double-Bagging算法.本文对其加以修改并应用于基因微阵列数据的处理.在给定的训练数据集和测试集上试验并比较了多种分类器,结果表明Double-Bassing决策树分类精确度优于Bagging决策树和C4.5算法.