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反馈神经网络进展
引用本文:徐俊波,许庆国,周传光,赵文.反馈神经网络进展[J].化工自动化及仪表,2003,30(1):6-10.
作者姓名:徐俊波  许庆国  周传光  赵文
作者单位:青岛科技大学,系统工程研究所,山东,青岛,266042
摘    要:对反馈神经网络的发展进行综述,并指出今后的发展趋势。

关 键 词:人工神经网络  动态过程  反馈
文章编号:1000-3932(2003)(01)-0006-05

Development of Recurrent Neural Network
XU Jun-bo,XU Qing-guo,ZHOU Chuan-guang,ZHAO Wen.Development of Recurrent Neural Network[J].Control and Instruments In Chemical Industry,2003,30(1):6-10.
Authors:XU Jun-bo  XU Qing-guo  ZHOU Chuan-guang  ZHAO Wen
Abstract:Artificial Neural Networks is a aptitude emulational network which is formed by linking of many simple neuron.Generic static network can only realize static reflection from the input to the output,hence it can not handle dynamic process,while recurrent network have the ability of dynamic memory by the introduction of recurrent link.The development of recurrent neural network is summarized,and the develop trend is presented.
Keywords:artificial neural network  dynamic process  recurrent
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