模糊聚类法在化学事故中未知化学品判断的应用研究

介绍一种基于微机的有毒有害物质判定方法。用模糊聚类分析法对已有化学品知识库分类。通过对化学品事故现场观察到的综合信息的核查和量化，根据一个判定准则和优化方案，找到未知化学品的归属，同时给出一个比较保守的判断结果，作为突发事故的急救处理和对环境危害的快速评估依据。     

Radial basis function networks with partially classified data

The problem of estimating a classification rule with partially classified observations, which often occurs in biological and ecological modelling, and which is of major interest in pattern recognition, is discussed. Radial basis function networks for classification problems are presented and compared with the discriminant analysis with partially classified data, in situations where some observations in the training set are unclassified. An application on a set of morphometric data obtained from the skulls of 288 specimens of Microtus subterraneus and Microtus multiplex is performed. This example illustrates how the use of both classified and unclassified observations in the estimate of the hidden layer parameters has the potential to greatly improve the network performances.     

大型石化装置安全阀安全保障综合管理体系应用研究

本文研究采用基于风险的完整性综合管理方法解决大型石化企业安A-N管理中存在的问题。阐述了建立安全阀数据库的基本原则，提出根据失效可能性和风险等级制定安全阀分类管理策略，实现分类管理，进行检验组织优化，制定安全阀失效紧急处置指南，以期形成安全阀安全保障综合管理体系，并建立包括网上报检、备阀备件统计管理、风险定量计算等功能的安全阀管理信息系统，在保障安全阀安全运行的同时，提高管理效能，降低管理成本。     

Data mining of tree-based models to analyze freeway accident frequency

INTRODUCTION: Statistical models, such as Poisson or negative binomial regression models, have been employed to analyze vehicle accident frequency for many years. However, these models have their own model assumptions and pre-defined underlying relationship between dependent and independent variables. If these assumptions are violated, the model could lead to erroneous estimation of accident likelihood. Classification and Regression Tree (CART), one of the most widely applied data mining techniques, has been commonly employed in business administration, industry, and engineering. CART does not require any pre-defined underlying relationship between target (dependent) variable and predictors (independent variables) and has been shown to be a powerful tool, particularly for dealing with prediction and classification problems. METHOD: This study collected the 2001-2002 accident data of National Freeway 1 in Taiwan. A CART model and a negative binomial regression model were developed to establish the empirical relationship between traffic accidents and highway geometric variables, traffic characteristics, and environmental factors. RESULTS: The CART findings indicated that the average daily traffic volume and precipitation variables were the key determinants for freeway accident frequencies. By comparing the prediction performance between the CART and the negative binomial regression models, this study demonstrates that CART is a good alternative method for analyzing freeway accident frequencies. IMPACT ON INDUSTRY: By comparing the prediction performance between the CART and the negative binomial regression models, this study demonstrates that CART is a good alternative method for analyzing freeway accident frequencies.     

Assessing representativeness of places for conservation reservation and heritage listing

Problems arising from application of the representative criterion for conservation and natural heritage evaluation are discussed. An ecological basis to this criterion is suggested that focuses on those key environmental factors dominating biotic response. A methodology is proposed that utilizes computer-based methods of establishing and interrogating spatial data bases (geographic information systems), environmental modeling, and numeric analysis. An example is presented illustrating some of the advantages and limitations of classification and dimension reduction techniques in both defining bioenvironments and displaying their spatial distribution. The advantages of this method for representativeness evaluation are that it maximizes the utility of available data, is explicit and repeatable, and enables large areas to be analyzed at relatively fine scales.     

火灾后混凝土结构损伤的属性识别

应用属性数学理论建立火灾后混凝土结构损伤程度评价的属性识别模型。选择影响火灾后混凝土质量的4个参数,如抗压强度损伤系数、抗渗透性损伤系数、爆裂损伤系数以及裂纹损伤系数等作为综合评判指标,通过构造属性测度函数以计算单指标属性测度和样本综合属性测度,应用置信度准则对火灾后混凝土样本的质量状况进行属性识别,从而建立了火灾后混凝土结构损伤程度综合评判的属性识别模型。在工程实例研究中,通过属性测度分析和计算,得到了火灾后混凝土样本损伤程度的评价结果,并分别与模糊综合评价和物元可拓评判法评价结果进行了比较,结果有较好的一致性。由于属性数学理论能很好地解决具有多个模糊属性问题的综合评价,且置信度准则是根据评价集具有有序性这一特点而提出的,因而可使评价结果更为可靠。     

“棕地”现象及其治理对策

“棕地”的概念至今在国内外没有统一的标准,它只是刚刚引入我国,没有被研究者所重视,但在我国,“棕地”问题已开始出现,必须引起我们的重视。本文通过探讨了“棕地”的概念和“棕地”分类,来描述“棕地”现象,通过介绍国外“棕地”治理的先进管理经验,探讨我国“棕地”治理的对策。     

湖北气象灾害的特点及防御对策

通过分析大量的气象灾害资料,并与其它自然灾害相联系,将发生在湖北的气象灾害进行了归纳,将其划分为6大类18种,并对其影响作了简要的描述．同时,根据历史上湖北气象灾害发生发展的时空分布规律以及气象灾害之间的相互联系,找出了湖北气象灾害发生的特点．最后,从减轻自然灾害的角度出发,针对湖北减灾工作的实际,提出了相应的防御对策．     

浅析电子废弃物的破碎与分级

采用机械方法处理电子废弃物，分选前的破碎分级作业是实现高质量分离、富集废弃物中有用物质的保证。从破碎对物料的解离作用入手，分别阐述了不同机械分选作业对入料粒度和形状的要求，这对电子废弃物分选前的破碎分级环节有一定的指导意义。     

隧道底板隆起的成因、分类与控制

在工程实践的基础上 ,全面地分析了隧底隆起的成因、分类与控制技术途径 ;总结和分析了隧底隆起破坏的 3种基本外在表现形式 ;在对引起隧底隆起的物理、力学与结构原因分析的基础上 ,提出了隧底隆起分类的 4种基本形式 ;同时也给出了按隆起破坏力学特征分类的 4种基本形式 ;总结归纳了隆起控制的一般原则 ,并提出了隧底隆起控制的技术途径。