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模糊Modular神经网络在黄金矿区可持续发展能力评价模型中的应用
引用本文:吴刚,刘胜富. 模糊Modular神经网络在黄金矿区可持续发展能力评价模型中的应用[J]. 黄金, 2003, 24(9): 16-20
作者姓名:吴刚  刘胜富
作者单位:北京科技大学
摘    要:以黄金矿区可持续发展能力的评价为研究对象,以矿区REES系统经济、社会、环境、资源子系统的综合发展水平、可持续发展度以及相互之间的状态协调度作为评价指标,建立了模糊Modular神经网络评价模型。通过实例分析,证明该模型具有较好的泛化、学习和映射能力,对类似于可持续发展能力的非线性系统评价有一定的参考价值。

关 键 词:可持续发展能力 评价指标体系 模糊Modular神经网络
文章编号:1001-1277(2003)09-0016-05
修稿时间:2003-03-13

The application of fuzzy modular neural network in sustainable development of gold mining area
Wu Gang,Liu Shengfu. The application of fuzzy modular neural network in sustainable development of gold mining area[J]. Gold, 2003, 24(9): 16-20
Authors:Wu Gang  Liu Shengfu
Affiliation:Beijing University of Science and Technology
Abstract:Aiming at assessing the sustainable development ability of gold mining,this paper takes the comprehensive development level,sustainable development degree and their harmonic status of the mining area's subsystem of resources,economy,environment and society(REES)as assessing indexes,and establishes assessment model based on fuzzy Modular neural network theory.Moreover it is used to assess Xin-cheng gold mine.Its application shows us that it has better generalization,learning and mapping capability,so it has some referential value to some non-linear systems which are similar to sustainable development ability.
Keywords:sustainable development ability  assessment index system  fuzzy Modular neural network  
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