首页 | 官方网站   微博 | 高级检索  
     

基于模糊神经网络的信息融合技术研究
引用本文:杨芳勋,黄席樾,李建科.基于模糊神经网络的信息融合技术研究[J].自动化与仪器仪表,2009(2):5-7.
作者姓名:杨芳勋  黄席樾  李建科
作者单位:重庆大学自动化学院,重庆,400044
摘    要:针对信息融合技术中目标融合识别的问题,根据人工神经网络和模糊系统的各自特点,形成一种模糊神经网络模型。首先将模糊系统用神经网络的结构表示,并采用相应的学习算法训练模糊神经网络实现模糊推理功能。最后对模糊神经网络模型进行仿真实验和结果分析。

关 键 词:信息融合  多层前馈模糊神经网络  模糊推理系统

The research of information fusion technology based on fuzzy neural network
YANG Fang-xun,HUANG Xi-yue,LI Jian-ke.The research of information fusion technology based on fuzzy neural network[J].Automation & Instrumentation,2009(2):5-7.
Authors:YANG Fang-xun  HUANG Xi-yue  LI Jian-ke
Abstract:For the problem of target fusion identify that often encounters in information fusion technique, acceding to the characters of artificial neural network and fuzzy system, a kind of fuzzy neural network model is designed. Firstly, the fuzzy system is expressed by construction for artificial neural network. Secondly, the multilayer feedforward fuzzy neural network is trained by associate studying algorithms. Finally, the model of fuzzy neural network has been proved by simulation experiment, at the same time the result has been analysed too.
Keywords:Information fusion  Multilayer feedforward fuzzy neural network  Fuzzy inference system
本文献已被 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-23

京公网安备 11010802026262号