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基于智能内存的人工神经网络
引用本文:李峰,张太镒,崔涛,种稚萌.基于智能内存的人工神经网络[J].电子器件,2004,27(3):515-517,384.
作者姓名:李峰  张太镒  崔涛  种稚萌
作者单位:1. 西安交通大学,电子与信息工程学院,西安,710049
2. Department of Electrical and Computer Engineering,University of Alberta,Edmonton, Canada T6G 2V4
摘    要:人工神经网络 ( ANN)的性能 ,尤其当其被用于在线模式识别时 ,主要依赖于加权和计算的速度。一种新型结构使得其运算时间复杂度 ( O( m) )要比传统的串行冯·诺意曼机小得多。这种结构采用了一个附加电路 ,从而扩展了传统RAM的功能。本文讨论了一种采用可重新配置电路结构的实现方法

关 键 词:人工神经网络  智能内存  屏蔽解码器
文章编号:1005-9490(2004)03-0515-03

Artificial Neural Networks Based on Intelligent Memory
LI Feng,ZHANG Tai-yi,CUI Tao,ZHONG Zhi-meng.Artificial Neural Networks Based on Intelligent Memory[J].Journal of Electron Devices,2004,27(3):515-517,384.
Authors:LI Feng  ZHANG Tai-yi  CUI Tao  ZHONG Zhi-meng
Institution:LI Feng~1,ZHANG Tai-yi~1,CUI Tao~2,ZHONG Zhi-meng~11. Department of Electronics and Information Engineering,Xi'an Jiaotong University,Xi'an 710049,China,2. Department of Electrical and Computer Engineering,University of Alberta,Edmonton,Canada T6G 2V4
Abstract:Execution of artificial neural networks, especially for online pattern recognition, mainly depends on time-efficient execution of weighted sums. A new architecture achieves this goal, with a computation time(O(m)) superior to the time complexity of sequential von Neumann machines. This architecture uses additional logic to extend the functionality of conventional Ram. We discuss an implementation of this architecture that uses reconfigurable logic.
Keywords:ANN  intelligent memory  masked decoder
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