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BP神经网络的硬件实现
引用本文:任鲁涌,庞维珍.BP神经网络的硬件实现[J].山东理工大学学报,1996(4).
作者姓名:任鲁涌  庞维珍
作者单位:山东工程学院计算机工程系(任鲁涌),天津大学(庞维珍)
摘    要:本文提出了一种采用MOS晶体管的电流模式连续时间模拟BP(Backward Propagation)神经网络的硬件实现新方法。硬件系统适合利用VLSI技术,具有片内误差反向传播学习功能,能简化BP新算法修正权值,对所设计的电路提供了PSPICE仿真结果,结果表明硬件实现方法的可行性。

关 键 词:神经网络  BP算法  突触电路  细胞体电路

Hardware Realization of Backward Propagation (BP) Neural Network
Ren Luyong,Pong Weizhen.Hardware Realization of Backward Propagation (BP) Neural Network[J].Journal of Shandong University of Technology:Science and Technology,1996(4).
Authors:Ren Luyong  Pong Weizhen
Institution:Ren Luyong Pong Weizhen( Department of Computer Engineering ) ( Tianjin University )
Abstract:This paper proposed a new method for hardware realization of BP neural network. This method, using current-mode continuously time-modeling, was well adaptive to the VLSI technique, had the in-chip error backward propagation learning function and simplified the corrected weight value of BP new computation, so that provided the circuits designed by the authors with PSPICE emulational result.
Keywords:Neural network  BP computing method  Sudden-touch circuit  Cell-body circuit  
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