岩溶多重介质环境人工神经网络理论与应用
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The Theory of Artificial Neural Network and Its Application in Karst Environment with Multimedia
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    摘要:

    人工神经网络是近十几年来发展极为迅速的一门边缘 学科。人工神经网络是借鉴了现代神经科学的研究成果提出的,由数量多变的形式神经元(处理单元)组合联结而成的网络系统;其结构特性、联结拓朴结构及学习规律是确定一个网络系统的三个要素。人工神经网络的主要特征(复杂系统、并行处理、分布存储、可变结构、高度容错、非线性运算、集体协同、自组织、广泛包容性和环境表述等)吸引了众多领域的科学工作者的注意;先后提出了多种人工神经网络模型,形成了多学科人工神经网络应用体系。岩溶多重介质环境是一个非常复杂的系统,系指岩溶区的水体(大气水/地表水/地下水)与碳酸盐岩(岩溶化程度不同的地表/地下结构)及其它物质组成的复合体系。由多个环境介质组成的岩溶多重介质环境,除一般环境所具有的性质外,其多层次性、自适应自组织性、跨介质迁移、界面效应、非线性作用、协同效应等特点决定环境结构、功能和性质的复杂性;岩溶作用与大气、水体联系甚密,又因生物、有机质不断介入,造成了环境敏感、脆弱、易损。本文选用人工神经网络,研究岩溶多重介质环境组构及其内部水流运动与传输过程、水资源时空分布特征和岩地下河系空间定位等,在科学发展方向、科学方法论、认知方法研究等方面进行探索和创新。

    Abstract:

    Artificial neural network is a frontier science rapidly developed in last decades.This idea is purposed by drawing the results of research from contemporary neural science and artificial neural network is composed of various formal neural units (treatment unit) which are grouped and linked to one another.Three major factors to identify a network system are the characteristics of structure,structure of topological connection and learning regularity.Many people engaging in scientific research of numerous fields pay close attentions to the main charactertics of artificial neural network(complex systems, parallel processing, distributed store, variable structure, show fault, non-linear operation, group coprocessing, self-organization, wide-ranging containment, environment statement and so on) and put forward many kinds of the models of artificial neural network, so the applied systems of multi-subject artificial neural network are formed.Karst environment with multi-medium is a very complicated system that is composed of wate r bodies (precipitation/ surface water/ groundwater), carbonate rocks(differentl y karstificated surface/ under ground structures) and other matters. In addition to the popular characteristics of general environment, karst environment with m ulti-medium itself possesses distinctive characteristics such as multi-layer fe ature, non-linear action and so on, that determine its complicated structure fu nction and properties. Closely connected with air and water bodies,and also cont inually intervened by living things and organisms, karstification leads to the s ensitivity, fragility and vulnerability of the environment.By means of artificia l Neural Network,this paper discusses the organization and structure, internal w ater movement and transmition,time-space distribution and locations of karst sub terranean rivers in karst environment with multi-medium.At the same time, this p aper makes a brave exploration and brings forth new ideas in the orientation of science development,methodology of science, method of recognition and so on

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郭纯青,范春光.2000.岩溶多重介质环境人工神经网络理论与应用[J].地质论评,46(supp):387-391,[DOI].
Guo Chunqing, Fan Chunguang.2000. The Theory of Artificial Neural Network and Its Application in Karst Environment with Multimedia[J]. Geological Review,46(supp):387-391.

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