期刊文献+

基于模糊法和神经网络的增压开采方案的优选研究

Optimal model study based on ANN and fuzzy mathematics gasturbo-charged mining plan
下载PDF
导出
摘要 多属性决策问题广泛存在于经济、管理、社会等各个领域中,如方案优选、工厂选址、资源分配、投资决策、项目评估、质量评估、科研成果评价、人才考核、产业部门发展排序、经济效益综合评价等,因此多属性决策理论及方法有着广阔的应用前景.对多属性决策理论、方法及其应用进行系统的研究具有重要的学术价值和实践意义.基于模糊理论的模糊优选方法是一种用于涉及模糊因素决策问题的优选方法,采用模糊优选方法可以较好地解决方案优选中的模糊性问题.本文以ANN、模糊理论为基础,对引入模糊优选方法解决气藏增压开采方案优选问题进行研究. Multi-attribute decision-making is becoming prevalent in the fields of economy, management, society and other fields, such as in program optimization, manufactory location, distribution of resources, investment decisions, project evaluation, quality estimate, scientific research appraisal, talented inspection, development level arrangement of industrial departments, integrative appraisement of economy benefits, and so on. Obviously, multi-attribute decision-making theory and method has a cheerful application prospect. And it contains academic importance and practical significance. Fuzzy optimization method based on fuzzy theory is an optimal method used to involve fuzzy factors in decision-making. Therefore it can be used to preferably solve the optimization problem of the fuzziness question.This article studies how to optimize the exploitation plan of turbo-charged mining. This is based on the ANN and fuzzy theory.The main task is as follows: The preferred outcome will be figured out by means of fuzzy optimization model and weight of various indexes fixed by ANN.
作者 余海洋 俞锋
出处 《西南民族大学学报(自然科学版)》 CAS 2008年第1期156-162,共7页 Journal of Southwest Minzu University(Natural Science Edition)
关键词 多属性决策 增压开采 BP神经网络 模糊优选法 multi-attribute decision-making turbo-charged mining BP neural network fuzzy optimization method
  • 相关文献

参考文献23

二级参考文献36

共引文献194

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部