知识库中精确知识的判定算法

研究了知识库中挖掘它所包含的精确知识的方法，给出知识库的相关概念及精确知识的定义，讨论了一种在所定义的知识库中提取并判定精确知识的算法．     

Reformulation of the support set selection problem in the logical analysis of data

The paper is concerned with the problem of binary classification of data records, given an already classified training set of records. Among the various approaches to the problem, the methodology of the logical analysis of data (LAD) is considered. Such approach is based on discrete mathematics, with special emphasis on Boolean functions. With respect to the standard LAD procedure, enhancements based on probability considerations are presented. In particular, the problem of the selection of the optimal support set is formulated as a weighted set covering problem. Testable statistical hypothesis are used. Accuracy of the modified LAD procedure is compared to that of the standard LAD procedure on datasets of the UCI repository. Encouraging results are obtained and discussed.     

The Method of Virtual Experts in Mathematical Diagnostics

Mathematical Diagnostics (MD) deals with identification problems arising in different practical areas. Some of these problems can be described by mathematical models where it is required to identify points belonging to two or more sets of points. Most of the existing tools provide some identification rule (a classifier) by means of which a given point is assigned (attributed) to one of the given sets. Each classifier can be viewed as a virtual expert. If there exist several classifiers (experts), the problem of evaluation of experts’ conclusions arises. In the paper for the case of supervised classification the method of virtual experts (the VE-method) is described. Based on this method, a generalized VE method is proposed where each of the classifiers can be chosen from a given family of classifiers. As a result, a new optimization problem with a discontinuous functional is stated. Examples illustrating the proposed approach are provided. The work of the second author was supported by the Russian Foundation for Fundamental Studies (RFFI) under Grant No 03-01-00668.     

用于数据挖掘的粗集产生多重知识库的方法

提出了一种用于数据挖掘的粗集产生多重知识库的方法．该方法基于粗集理论的简化和决策矩阵．首先从知识表示系统中消除冗余属性,产生简化表,形成简化的知识表示系统,提高学习的有效性和精确性．然后从简化表中推导出决策矩阵,通过决策矩阵获取最小决策规则,计算包括所有必需属性的简化集合,给出计算最小决策规则和计算多重简化的算法．最后由相应的简化对最小决策规则进行分组形成多重知识库,给出产生多重知识库的算法．     

综放开采在小峪3^#煤层应用的可行性研究

采用多因素分析综合评价方法,论证了在小峪３＾＃煤层应用综放开采是可行的,并提出了具体实施方案,对矿井生产及类似条件的煤层开发有指导借鉴意义。     

条带采煤法的计算机模拟分析

借助ADINA程序对“采18留18”和“采6留6”两种条采方案的模拟计算.获得了两种方案条带煤柱和开采条带覆岩的应力分布规律、弹塑性状态,并分析、评述了其破坏特点.     

溶剂萃取法制备Co(PO_3)_2超细微粉

本文用溶剂萃取法成功地制备了偏磷酸钴超细微粉并通过ＸＲＤ，ＩＲ，ＴＧ，ＤＴＡ，ＴＥＭ等实验对超细微粉的组成、结构进行了表征。     

Design criteria for molecular mimics of fragments of the β-turn. 1. Cα atom analysis

Peptides represent an extensive class of biologically active molecules. They may be used as leads in the development of novel therapeutic agents provided the pharmacophoric information present within them can be translated into non-peptide analogs that lack the peptide backbone and are stable to proteolysis. This is the rationale for peptidomimetic drug design. Frequently, the -turn has been implicated as a conformation important for biological recognition of peptides. Empirical evidence from known peptidomimetics, coupled with a theoretical model of peptide binding and the observation that glycine and proline residues are common within the -turn, has suggested the design of molecules to mimic placement of between two and four of the side-chains. The moderate number of different -turn conformations, combined with the combinatoric nature of side-chain selection complicates the procedure. In this paper, cluster analysis has been used to classify the arrangement of C_{_} atoms about the various fragments of the -turn. Recombination of the observed patterns provides a general model for the -turn which may be used as an effective screen for potential peptidomimetic scaffolds in chemical databases.     

An Analytical Method for the Separation and Determination of As(III) and As(V) in Seepage and Acid Mine Drainage Water

To avoid changes in the original As species distribution in natural water after sampling, a method of immediate separation of As(V) by anion exchange at the sampling site was developed. The procedure consists of two steps. The total concentration of arsenic is determined in one part of the water sample acidified on site. Another part of the water samples is pressed through a column filled with an anion exchanger. The As(III) species that is not redox-stable remains in the effluent of the sorbents column and can be analyzed with conventional methods after stabilization by addition of conc. HNO₃. As(V) is sorbed by the exchanger material. The As(V) concentration can be calculated as the difference between As_sol and As(III), neglecting very low contents of methylated species. Oxidation of Fe(II) by air followed by co-precipitation of arsenic with iron hydroxide was applied in field experiments to minimize the As concentration in seepage and mining water.     

粗糙集方法在基于属性分类中的应用

介绍粗糙集基础上的属性分类系统的构造,给出一种数据挖掘中新的分类方法:从初始的数据信息出发,依次构造约简属性集,并对其使用Bayes判别法进行基于属性的分类。最后给出了实例,验证算法的可行性。