[1]朱明程,徐健,李昆华.采用MCU多层神经网络模型设计探讨[J].东南大学学报(自然科学版),2000,30(2):21-26.[doi:10.3969/j.issn.1001-0505.2000.02.005]
 Zhu Mingcheng,Xu Jian,Li Kunhua.A Novel Model Design Adopting MCU for Multilayer Neural Network[J].Journal of Southeast University (Natural Science Edition),2000,30(2):21-26.[doi:10.3969/j.issn.1001-0505.2000.02.005]
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采用MCU多层神经网络模型设计探讨()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
30
期数:
2000年第2期
页码:
21-26
栏目:
自动化
出版日期:
2000-03-19

文章信息/Info

Title:
A Novel Model Design Adopting MCU for Multilayer Neural Network
作者:
朱明程1 徐健2 李昆华1
1 深圳大学信息工程学院,深圳 518060; 2 中国科学院半导体研究所,北京 100083
Author(s):
Zhu Mingcheng1 Xu Jian2 Li Kunhua1
1 College of Information Engineering, Shenzhen University, Shenzhen 518060
2 Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083
关键词:
神经网络 BP算法 XOR问题 单片机
Keywords:
neural network BP algorithm XOR MCU
分类号:
TP183;TP368.1
DOI:
10.3969/j.issn.1001-0505.2000.02.005
摘要:
介绍了多层神经网络模型及BP学习算法,并以解决XOR问题为例,系统讨论了采用MOTOROLA单片机MC68HC11A8的多层神经网络模型的硬件设计与程序流程,进一步讨论了硬件设计中量化误差、算法的非线性等对系统性能的影响,以及应采取的措施.
Abstract:
Multilayer neural network model and BP algorithms are introduced firstly in this paper. By solving XOR problem, hardware and software design of a novel multilayer neural network model adopting MC68HC11A8 of MOTOROLA MCU are dissertated systematically. The influence of quantizing errors in hardware design and the nonlinear algorithms to the system function is further discussed and the correction are adopted.

参考文献/References:

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备注/Memo

备注/Memo:
第一作者:男, 1953年生, 副教授.
更新日期/Last Update: 2000-03-20