CPAFC辅助判决反馈环的一种具体实现方案

对叉积自动频率控制算法(CPAFC)进行了研究,该算法常用来辅助载波抑制环来实现对大频偏信号的跟踪,而叉积自动频率控制算法在频偏估计的过程中,往往会造成一定的系统时延。针对这个问题,本文给出了一种解决方法,在此基础上提出了一种CPAFC辅助判决反馈环的具体实现方案。仿真结果表明,这种方案在保持一定同步精度的同时,极大地缩短了系统延时。     

基于博弈视角的企业核心人力资源保留研究

核心入力资源是企业获得长期成长和核心竞争力的重要源泉,实现核心人力资源的保留和发展对企业人力资源管理而言是至关重要的工作。本文以博弈理论为分析工具,分别从人力资源市场和企业内部资源配置两个层面来分析核心人力资源的供需结构以及供需双方的博弈策略,并针对飞行员这一核心人力资源进行分析。     

基于数据挖掘技术的金融信用决策管理系统

论文首先介绍了数据挖掘的概念及相关技术,然后论述了数据挖掘技术在金融信用决策管理系统中的应用,通过对预测解析、内在理解、决策建模、策略优化和策略精调的介绍,对数据挖掘的实现进行了有效描述.     

基于ANP和Super Decision的通信链路威胁评估排序

运用ANP（网络层次分析）方法对通信链路威胁进行评估排序,建立了ANP控制层和网络层的模型,并使用Super Decision计算极限超矩阵,得到最终目标排序。由于考虑到了评估指标的相互影响关系,ANP法比传统AHP方法更为接近实际情况。     

基于数据挖掘和决策树的测试用例重用技术研究

通过应用数据挖掘和决策树算法,将测试专家分类重用测试用例的思想固化,并可以根据新采集的可重用的测试用例,不断扩充分类规则,使测试用例重用库具有不断自扩充和自完善的能力。通过使用测试用例重用库中可重用的测试用例和测试思想,可以提高测试人员对被测软件需求规格说明中功能和性能等指标的测试全面性和有效性,提高工作效率,减少工作量,并提高测试质量。     

基于决策树的多防御方目标攻防决策

针对多方对抗博弈问题的复杂性和多样性,提出了利用决策树思想对多防御方的目标攻防问题的策略进行决策树分类,再利用决策树分类模型对多防御方的目标攻防问题的攻防策略进行快速决策。首先,对多防御方目标攻防问题利用决策树ID3算法以攻防双方的策略作为类别属性进行分类,得到多防御方目标攻防问题的决策树模型;然后,对多方对抗中的攻击方,基于距离的威胁权重函数得到攻击方的轨迹;最后,得到防御方的协同合作策略,并进行了仿真验证。     

Glacier mapping based on rough set theory in the Manas River watershed

Precise glacier information is important for assessing climate change in remote mountain areas. To obtain more accurate glacier mapping, rough set theory, which can deal with vague and uncertainty information, was introduced to obtain optimal knowledge rules for glacier mapping. Optical images, thermal infrared band data, texture information and morphometric parameters were combined to build a decision table used in our proposed rough set theory method. After discretizing the real value attributes, decision rules were calculated through the decision rule generation algorithm for glacier mapping. A decision classifier based on the generated rules classified the multispectral image into glacier and non-glacier areas. The result of maximum likelihood classification (MLC) was used to compare with the result of the classification based on the rough set theory. Confusion matrix and visual interpretation were used to evaluate the overall accuracy of the results of the two methods. The accuracies of the rough set method and maximum likelihood classification were compared, yielding overall accuracies of 94.15% and 93.88%, respectively. It showed the area difference based on rough set was smaller by comparing the glacier areas of the rough set method and MLC with visual interpreter, respectively. The high accuracy for glacier mapping and the small area difference for glacier based on rough set theory demonstrated that this method was effective and promising for glacier mapping.     

A comparative study of decision tree,random forest,and convolutional neural network for spread-F identification

Ionospheric spread-F (SF) is a commonly observed phenomenon of electron density perturbation in the F-layer. The ionospheric irregularities structure has an adverse effect on the propagation of electromagnetic waves in the ionosphere. The automatic identification of ionospheric spread-F and statistical study of the formation of spread-F are of great significance to the study of the physical mechanism of ionospheric inhomogeneity and for prediction of ionospheric irregularities. In this paper, we describe and implement three automatic identification methods of spread-F based on machine learning: decision tree, random forest, and convolutional neural network (CNN). The performance of these automatic identification methods was verified using a large set of test data. Results show that the accuracy of all three methods on identifying ionograms with spread-F exceeded 90%. After comparing the results of the three methods, we found that the decision tree method was the simplest and with the structure easiest to be understood, and it required the shortest interpretation time. In terms of the identification results, the random forest method provided better results than the decision tree method, and the CNN method was the best at accurately identifying ionograms with spread-F.     

应用UBET优化开式模锻中连皮厚度参数

连皮厚度是开式模锻工艺参数中的一个重要参量，它对模锻变形力和材料的消耗有很大的影响。本文应用上限单元法（ＵＢＥＴ）对连皮厚度进行了优化设计。基于连皮厚度和飞边高度间的相对大小关系，建立了三种不同的变形流动模式和动可容速度场，根据上限原理和黄金分割法，利用ＴｕｒｂｏＣ语言编程求解，获得了最大锻造力的最佳上限解，并和实验相比较，两者吻合得较好，表明建立的动可容速度场是合理可行的。以最大锻造力和连皮体积的乘积作为优化准则，更好地得到了最佳连皮厚度值。     

基于物理规划的数据中继卫星链路配置决策方法

将方案评价与决策的思想引入到卫星链路配置中,建立了中继卫星链路参数配置的多目标模型,并用"短板链路"优先配置的原则,将多目标模型缩减为三目标模型。采用基于物理规划的决策方法,给出了决策三目标配置模型最优解的具体实现算法。通过实例分析表明该决策方法是可行的。