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二进神经网络非线性移位寄存器的综合 被引量:3

Nonlinear Shift Register Synthesis Based on Binary Neural Network
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摘要 本文利用二进神经网络及其学习算法特点和对布尔函数的映射能力,设计了一个精巧的非线性移位寄存器的综合算法,同时得到序列非线性复杂度的移位寄存器的反馈布尔函数.此综合算法简单可靠,所需存储运算量小. A subtle synthesis algorithm for nonlinear shift register by using characteristics of the binary neural network and its learning algorithm and mapping to Boolean function is developed.The algorithm can obtain both nonlinear complexity of the given sequence and feedback Boolean function of the shift register. Furthermore it is simple,reliable and has small burden of stoop and computation.
出处 《电子学报》 EI CAS CSCD 北大核心 2000年第1期70-73,共4页 Acta Electronica Sinica
基金 国家自然科学基金!(No.69772035 69882002) 国家"863"项目资助课题
关键词 非线性 移位寄存器 神经网络 布尔函数 nonlinear shift register neural networks boolean function
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参考文献9

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同被引文献20

  • 1Lee Yong,Lee Jeail,Song JooSeok.Design and implementation of wireless PKI technology suitable for mobile phone in mobile-commerce[J].Computer Communications, 2007,30(4) : 893-903.
  • 2Chang C.A new encryption algorithm for image cryptosystems[J]. The Journal of Systems and Software,2001,58(7) : 83-91.
  • 3Tong Yu-wei,Lu Lang-ru,Li Ming, et al.The parallel implementation of AES algorithm on FPGA[J].Traffic and Computer,2002(6): 20-25.
  • 4University Applied Sciences Bremen.AES crypto core family- overview[DB/OL].[2005-01 - 16].http ://www.i3m.
  • 5Jiang Zheng-tao,Zhan Yang,Chen Dan,et al.Two methods of directly constructing probabilistic public-key encryption primitives based on third-order LFSR sequences[J].Applied Mathematics and Computation, 2005,171 (2) : 900-911.
  • 6Fuster-Sabater A,de la Guia-Martinez D.Modelling nonlinear sequence generators in terms of linear cellular automata[J].Appliod Mathematical Modelling, 2007,171 ( 2 ) : 226-235.
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  • 9Kim J H, Ham B, Chen J K. The Learning of Multi-Output Binary Neural Networks for Handwritten Digit Recognition. In: Proc of the International Joint Conference on Neural Networks. San Francisco, USA, 1993, 605-608
  • 10Garcia J C S, Miyatake M N, Meana H P. An Extended Hamming Neural Networks for Non Binary Pattern Recognition. In: Proc of the 37th Midwest Symposium on Circuits and Systems. Lafayette, USA, 1994, Ⅰ: 607-609

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