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基于离散Hopfield神经网络的文献检索智能识别
引用本文:潘舜琼.基于离散Hopfield神经网络的文献检索智能识别[J].重庆工学院学报,2007,21(13):119-122.
作者姓名:潘舜琼
作者单位:湖南城市学院图书馆,湖南益阳413000
摘    要:根据Hopfidd网络中神经元之间的相互连接具有丰富的动力学特性的特点,探究了Hopfield网络模型在文献检索中的运用,指出该网络存在的问题,并提出解决方案.

关 键 词:人工神经网络  离散Horrid神经网络  神经元  伪状态  文献检索
文章编号:1671-0924(2007)07-0119-04
收稿时间:2007-04-05

Intelligent Identification of Literature Retrieval Based on Separated Hopfield Neural Network
PAN Shun-qiong.Intelligent Identification of Literature Retrieval Based on Separated Hopfield Neural Network[J].Journal of Chongqing Institute of Technology,2007,21(13):119-122.
Authors:PAN Shun-qiong
Affiliation:Library, Hunan City University, Yiyang 413000, China
Abstract:According to the dynamic characteristics of the interconnections between nerve cells in Hopfield network, this paper discusses the application of Hopfield network model in the literature retrieval, points out the network problems, and puts forward the solutons.
Keywords:artificial neural network  separated Hopfield neural network  nerve cell  Pseudo-state  literature retrieval
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