[1]何振亚,谭营,王保云.一种新的混沌神经网络模型及其动力学分析[J].东南大学学报(自然科学版),1998,28(6):1-5.[doi:10.3969/j.issn.1001-0505.1998.06.001]
 He Zhenya Tan Ying Wang Baoyun,.A New Model of Chaotic Neural Networks and Its Dynamic Characteristic Analysis[J].Journal of Southeast University (Natural Science Edition),1998,28(6):1-5.[doi:10.3969/j.issn.1001-0505.1998.06.001]
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一种新的混沌神经网络模型及其动力学分析()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
28
期数:
1998年第6期
页码:
1-5
栏目:
自动化
出版日期:
1998-11-20

文章信息/Info

Title:
A New Model of Chaotic Neural Networks and Its Dynamic Characteristic Analysis
作者:
何振亚谭营王保云
东南大学无线电工程系; 中国科技大学信息处理研究中心; 南京邮电学院信息工程系
Author(s):
He Zhenya 1 Tan Ying 2 Wang Baoyun 3
1Department of Radio Engineering, Southeast University, Nanjing 210096
2Information Processing Center, University of Science & Technology Of China, Hefei 230000
3Department of Information Engineering, Nanjing University of Posts & Telecommunications, Nanjing 210003
关键词:
神经网络 暂态混沌 时变增益 非线性优化 混沌退火机制
分类号:
TP18
DOI:
10.3969/j.issn.1001-0505.1998.06.001
摘要:
提出了一种混沌神经网络模型.通过引入暂态混沌和时变增益,该网络比Hopfield型网络具有更加丰富和更为灵活的动力学特性,从而具有更强的搜索全局最优解或近似全局最优解的能力.它可以用于求解各种复杂的优化问题.大量的数字模拟表明网络能较好地解决Hopfield型网络的局部极值问题.

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备注/Memo

备注/Memo:
国家攀登计划,国家自然科学基金
更新日期/Last Update: 2013-04-13