一种基于KNN-SVR的基因表达缺失值的估计方法

为了消除不相似基因对基因表达谱中缺失值估计的影响,提出了一种基于KNN SVR的缺失值估计方法.该方法先通过最近邻法选出与目标基因表达最相似的一组完全基因,再用这些基因通过支持向量回归对缺失值进行估计.还提出了用标准化偏差的方差来度量算法的稳定性和估计值的可信度.该方法通过对基因的过滤提高了缺失值估计的有效性.实验结果表明,KNN SVR法具有较高的估计精度和稳定性.     

基于装备演化规律的C4ISR需求生成模式研究

针对C4ISR需求生成的系统性问题,提出基于武器装备演化规律的C4ISR需求生成模式。根据武器装备在作战、系统、技术三个层面的演变规律,从任务模糊性、结构复杂性、技术不确定性三个维度划分目标武器装备,提出与演变规律对应的、逐层递进的C4ISR需求研究模式——复制、发现和创造,提供了解决C4ISR需求精确性问题、正确性问题和前瞻性问题的途径。实例表明,采用该模式能够系统地生成C4ISR需求。     

灰色组合模型在股指预测中的新发现

针对四项灰色组合模型,提出了较优的最佳等维新息两项组合灰色模型预测。通过证券市场股指预测的实证分析,发现灰色组合模型均不及两次拟合灰色模型适用。     

Modeling of unsupervised knowledge graph of events based on mutual information among neighbor domains and sparse representation

Text event mining, as an indispensable method of text mining processing, has attracted the extensive attention of researchers. A modeling method for knowledge graph of events based on mutual information among neighbor domains and sparse representation is proposed in this paper, i.e. UKGE-MS. Specifically, UKGE-MS can improve the existing text mining technology's ability of understanding and discovering high-dimensional unmarked information, and solves the problems of traditional unsupervised feature selection methods, which only focus on selecting features from a global perspective and ignoring the impact of local connection of samples. Firstly, considering the influence of local information of samples in feature correlation evaluation, a feature clustering algorithm based on average neighborhood mutual information is proposed, and the feature clusters with certain event correlation are obtained; Secondly, an unsupervised feature selection method based on the high-order correlation of multi-dimensional statistical data is designed by combining the dimension reduction advantage of local linear embedding algorithm and the feature selection ability of sparse representation, so as to enhance the generalization ability of the selected feature items. Finally, the events knowledge graph is constructed by means of sparse representation and l₁ norm. Extensive experiments are carried out on five real datasets and synthetic datasets, and the UKGE-MS are compared with five corresponding algorithms. The experimental results show that UKGE-MS is better than the traditional method in event clustering and feature selection, and has some advantages over other methods in text event recognition and discovery.     

A misclassification cost‐minimizing evolutionary–neural classification approach

Machine learning algorithms that incorporate misclassification costs have recently received considerable attention. In this paper, we use the principles of evolution to develop and test an evolutionary/genetic algorithm (GA)‐based neural approach that incorporates asymmetric Type I and Type II error costs. Using simulated, real‐world medical and financial data sets, we compare the results of the proposed approach with other statistical, mathematical, and machine learning approaches, which include statistical linear discriminant analysis, back‐propagation artificial neural network, integrated cost preference‐based linear mathematical programming‐based minimize squared deviations, linear integrated cost preference‐based GA, decision trees (C 5.0, and CART), and inexpensive classification with expensive tests algorithm. Our results indicate that the proposed approach incorporating asymmetric error costs results in equal or lower holdout sample misclassification cost when compared with the other statistical, mathematical, and machine learning misclassification cost‐minimizing approaches. © 2006 Wiley Periodicals, Inc. Naval Research Logistics, 2006.     

基于SNF的一种检测和跟踪性能优化方法

对于一个监视系统,跟踪性能的优化要求检测系统和跟踪系统通过引入反馈进行联合设计,针对最大量测幅值邻域滤波器(SNF),提出了先验和后验检测跟踪优化准则,通过分析得出先验优化准则不可行这一结论,而利用后验优化准则同时对检测阈值和门值的联合优化,仿真结果表明,用后验优化准则进行检测和跟踪性能优化,不仅具有比恒虚警率更好的跟踪精度,而且其计算代价也大为降低.     

基于语义的AdHoc网络服务发现

在分析现有的Ad Hoc网络服务发现方法的基础上,提出一种基于语义的Ad Hoc网络服务发现方法。该方法基于语义推理机制,能对服务进行准确地刻画,大大提高了查准率;又由于该方法在考虑服务本身的同时,还考虑了服务的节点属性和节点所处的环境属性,可以有效地改善服务质量。仿真结果表明,与同类的Ad Hoc网络服务发现方法相比,该方法在查准率方面具有较大的优越性。     

基于指控交互信息用户语境的语义Web服务发现和组合

在军事指挥控制模拟训练系统和训练装备研究领域,指控系统与仿真系统的开发是相对的,遵循不同的标准和协议,在结构和功能上存在很大的差异。通过建立指控交互信息的语义Web服务概念参考模型,提出指控系统与仿真系统互操作性面临的技术需求,研究基于指控交互信息用户语境的语义Web服务发现和服务组合,提出了基于静态与动态用户语境匹配的语义Web服务发现架构和服务匹配算法,以及基于用户语境的语义Web服务组合算法。     

多源文本数据真值发现方法

针对传统真值发现算法无法直接应用于文本数据的问题,提出基于深度神经网络面向多源文本数据的真值发现算法(NN_Truth)。根据文本答案多因素性、词语使用多样性以及文本数据稀疏性等特点,将“数据源-答案”向量作为网络输入,识别答案真值向量作为网络输出,依据真值发现的一般假设,无监督学习各数据源答案向量间关联关系,并最终获得答案真值。实验结果表明,该算法适用于文本数据真值发现场景,较基于检索的方法及传统真值发现算法效果更优。     

“发现教学法”的探索与廊用

立足于加强学员的科学思维方法训练,培养具有创新能力的高素质人才,从新的角度探索“发现教学法”在电子技术实验课教学中的应用,提出了应用发现教学法一般实施的四个阶段和应着重把握的几个问题。