计算机工程与应用Issue(4)：73-76,102,5.DOI:10.3778/j.issn.1002-8331.1203-0725
径向基函数混沌神经元系统及其应用
RBF chaotic neuron system and its application
许楠 1刘丽杰1
作者信息
- 1. 黑龙江八一农垦大学 信息技术学院，黑龙江 大庆 163319
- 折叠
摘要
Abstract
Construct the Radial Basis Function(RBF)chaotic neural network model and the RBF chaotic neuron model. Analyze the reason for convergence after the chaotic search. Construct the RBF chaotic neuron dynamic system which can keep chaotic state forever through removing the simulated annealing strategy. Prove the feasibility of keeping chaotic state forever from analyzing the time series of this system. Apply this system to encrypt and decipher for the gray image. Illuminate the principle and the algorithm for this application. Analyze the capability of resisting exhaustion and explain the capability of resisting statistic through checking the histogram of the original image and the encrypted image.关键词
径向基函数/混沌/模拟退火策略/时间序列Key words
Radial Basis Function(RBF)/chaos/simulated annealing strategy/time series分类
信息技术与安全科学引用本文复制引用
许楠,刘丽杰..径向基函数混沌神经元系统及其应用[J].计算机工程与应用,2014,(4):73-76,102,5.
