衡阳市区地下水资源模糊综合评判及分区

本文运用模糊综合评判的方法对衡阳市区地下水资源进行评价及分区,从而将本市地下水资源分成Ａ,Ｂ,Ｃ,Ｄ四种区域,并对各区域的开采远景做了详尽的分析。分区结果为区内地下水资源的统一管理和合理开发利用,提供了科学的依据。     

金沙江流域区域地壳稳定性分区与定量评价

金沙江中、下游横穿横断山南北构造带, 新构造运动强烈, 地震活动频繁, 各种内动力地质灾害比较严重, 该区区域地壳稳定性相对较差。为服务于金沙江水电工程规划建设和减灾防灾的需要, 本文对金沙江流域沿江地区进行了地壳稳定性的评价与分区。文中依据地壳稳定性定量评价的原则和方法, 建立地质构造背景、地壳结构、地震以及地球物理等指标, 并将地壳稳定性划分为四个等级:稳定、基本稳定、次稳定和不稳定。然后按照上述系统进行地壳稳定性分区。最后, 综合各项研究资料来确定各区的定量评价指标, 并采用模糊数学方法对各区地壳稳定性进行综合评价。     

应用模糊评判法预测新疆东准噶尔地区金成矿有利区

应用模糊综合评判原理,在对新疆东准噶尔地区金成矿地质基本特征分析基础上,选取地质、地球化学参数,利用各参数的权重分配进行调整,确定最佳权重分配方案,对新疆东准噶尔地区金的含矿性进行综合评判,其结果预测了该地区金矿成矿有利区。     

水质快速分析及水源快速判别系统

在研究邢台矿区各生产井不同含水层质特征的基础上,采用便携式Ⅱ型水质连测仪进行水质分析,１小时内可测定一份水样的７项指标,并采用计算机管理系统应用模糊综合评判数学方法完成水源的判别。     

西安地区区域地壳稳定性评价

本文依据“七五”期间对西安地区进行区域地壳稳定性与地质灾害评价和研究工作所取得的地质、物探、测量、模拟实验等方面的成果资料,考虑到内、外动力地质作用及介质条件,运用模糊数学方法进行了稳定性评价与区划,将西安地区地壳稳定性划分为较稳定、次较稳定、次较不稳定、较不稳定、不稳定五级。在此基础上,对西安地区主要城市的建设与发展规划提出了指导性的建议。     

Fuzzy comprehensive evaluation model of ecological demonstration area

1IN TR O D U C TIO NEcologicaldem onstration area (ED A )isan authoritativenom ination by N ational Environm ental Protection A d-m inistration ofC hina,w hich firstbegan itsexperim entalconstruction ofED A in 1995 and w asprom ulgated "N a-tionalExam ina…     

Definition of kriging in terms of fuzzy logic

In this paper, we have basically attempted to solve two problems: (i) the restricted kriging problem as stated by Matheron, and (ii) the defining of Matheron's kriging problem within the framework of fuzzy logic in order to interpret the Lagrange multiplier, which is a function of kriging variance and is a dual variable with respect to which the generalized Lagrange function F(X, ) is minimized.on leave from Department of Geology, Indian Institute of Technology, Kharagphur 721302, West Bengal, India.     

A statistical prediction technique for deriving contour maps from geophysical data

A technique for preparing contour maps is presented which has particular applicability for geophysical data. This technique derives from the assumption that each measured value is a sample from a statistical distribution which is taken to be valid in the area around that sample location. This distribution may be specified in the manner which best defines the relationship between the data and its spatial environment. Extending this principle to cover all areas to be mapped, and not just those measured, it is possible to predict values over a grid array of locations and hence to produce a contour map. Inherent in this simple procedure is: (i) the ability to adjust to the nature of the data being contoured; (ii) the elimination of edge effects; (iii) visual indication of the relative accuracy with which contours are located, at all points of the map; (iv) the automatic downgrading of data values which are in error; (v) the ability to contour combinations of measured data values without compounding errors; and (vi) a relatively simple extension to data spatially distributed in three dimensions.Research Council of Alberta Contribution No. 618.     

Genetic feature selection for texture classification

This paper presents a novel approach to feature subset selection using genetic algorithms. This approach has the ability to accommodate multiple criteria such as the accuracy and cost of classification into the process of feature selection and finds the effective feature subset for texture classification. On the basis of the effective feature subset selected, a method is described to extract the objects which are higher than their surroundings, such as trees or forest, in the color aerial images. The methodology presented in this paper is illustrated by its application to the problem of trees extraction from aerial images.     

定性数学的若干基本特征

讨论了几个人工智能中的数学特征以及与传统数学的区别，给出了智能定性模拟的数学基础——定性数学的若干基本运算法则和常用表示方法，该方法对处理某些大气和海洋学问题具有广泛的应用前景