首页 | 本学科首页   官方微博 | 高级检索  
     

连续神经网络在高频率离散问题求解中的应用
引用本文:骆嘉伟,王思玮.连续神经网络在高频率离散问题求解中的应用[J].计算机工程与设计,2003,24(4):94-96,37.
作者姓名:骆嘉伟  王思玮
作者单位:湖南大学计算机与通信学院,湖南,长沙 410082
摘    要:应用连续神经网络来解高频率离散问题,并采用最佳机票超额预定作为具体应用实例。在对上述问题的求解过程中,根据机票超额预定的规章制度和Hopfield连续神经网络理论建立数学模型,利用BP算法和模糊推理系统计算了Hopfield网格各节点之间的联系。这一应用对神经网络参与优化问题求解有较为重要的意义。

关 键 词:概率  高频率离散问题  求解过程  数学模型  模糊推理
文章编号:1000-7024(2003)04-0094-03

Application of continuous neutral network in solving the high rate discrete problem
LUO Jia-wei,WANG Si-wei.Application of continuous neutral network in solving the high rate discrete problem[J].Computer Engineering and Design,2003,24(4):94-96,37.
Authors:LUO Jia-wei  WANG Si-wei
Abstract:The paper aims at finding an alternation to apply the hopfield continuous network in the high rate discrete problems, which take an optimal overbooking scheme of airline as example. During the process of searching for the resolution of the above problems, a model was constructed with the reference of hopfield continuous network theory and the code of federal regulation, furthermore, the correlations of all the factors was identified with BP algorithm and the fuzzy inference system. It has some key effects in the expanding of continuous network and the practice of optimization theory.
Keywords:hopfield continuous network  overbooking
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号