首页> 外文期刊>Neural computing & applications >A new fuzzy neural network model for solving fuzzy linear programming problems and its applications
【24h】

A new fuzzy neural network model for solving fuzzy linear programming problems and its applications

机译:一种解决模糊线性规划问题的新型模糊神经网络模型及其应用

获取原文
获取原文并翻译 | 示例
       

摘要

This paper is concentrated on two types of fuzzy linear programming problems. First type with fuzzy coefficients in the objective function and the second type with fuzzy right-hand side values and fuzzy variables. Considering fuzzy derivative and fuzzy differential equations, these kinds of problems are solved using a fuzzy neural network model. To show the applicability of the method, it is applied to solve the fuzzy shortest path problem and the fuzzy maximum flow problem. Numerical results illustrate the method accuracy and it's simple implementation.
机译:本文集中于两种类型的模糊线性规划问题。第一种类型具有目标函数中的模糊系数,第二种类型具有模糊的右侧值和模糊变量。考虑模糊导数和模糊微分方程,可以使用模糊神经网络模型解决这类问题。为了说明该方法的适用性,将其用于解决模糊最短路径问题和模糊最大流量问题。数值结果说明了该方法的准确性,并且实现简单。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号