摘要
应用具有全局最优的ＢＰ改进算法，建立了产生混沌序列的神经网络模型（ＣＧＮＮ）。该模型产生序列随机性良好，序列更换调整容易。对ＣＧＮＮ系统的抗破译性能进行了分析，结果表明，该模型产生的混沌序列确可以作为最优加密密匙及扩频码。
A Chaos Generation Neural Networks(CGNN)model trained by modified Back Propagation algorithm is proposed in this paper.This model can generate a chaotic sequence whose randomness is excellent.Changing the output sequence is very easy.The ability against decryption and the performance of output sequence from CGNN are analyzed.The result shows that the output sequence is suitable for the optimal encrypting code and the spread spectrum code.
出处
《通信学报》
EI
CSCD
北大核心
1999年第6期77-81,共5页
Journal on Communications
基金
国家自然科学基金
邮电部重点科技发展计划
