[1]李海波.高阶反馈型神经网络及其在优化计算中的应用[J].东南大学学报(自然科学版),1990,20(6):1-8.[doi:10.3969/j.issn.1001-0505.1990.06.001]
 Li Haibo.High-Order Back-Forward Neural Network and Its Application for Optimization Computing[J].Journal of Southeast University (Natural Science Edition),1990,20(6):1-8.[doi:10.3969/j.issn.1001-0505.1990.06.001]
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高阶反馈型神经网络及其在优化计算中的应用()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
20
期数:
1990年第6期
页码:
1-8
栏目:
本刊信息
出版日期:
1990-11-20

文章信息/Info

Title:
High-Order Back-Forward Neural Network and Its Application for Optimization Computing
作者:
李海波
东南大学无线电工程系
Author(s):
Li Haibo
Department of Radio Engineering
关键词:
神经网络 最优化算法 多项式
分类号:
+
DOI:
10.3969/j.issn.1001-0505.1990.06.001
摘要:
本文用神经网络来求解多元函数的极值.针对 Hopfield 网络的局限,提出了一种高阶反馈型神经网络,并从数学上证明了这个网络具有良好的稳定性.当阶数为2时,功能类似于 Hopfield 网络,但比它稳定.本文还给出求解多元高次函数全局最优解的方法.最后给出了该网络的计算机数值仿真.

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更新日期/Last Update: 2013-04-22