| 一种适于光学实现的非线性神经网络模型及其蒙特卡洛学习算法 |
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| 引用本文： | 黄五群,高成群,陈天伦,胡北来,张延炘.一种适于光学实现的非线性神经网络模型及其蒙特卡洛学习算法[J].光学学报,1990,10(5):446-451. |
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| 作者姓名： | 黄五群 高成群 陈天伦 胡北来 张延炘 |
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| 作者单位： | 南开大学物理系
(黄五群，高成群，陈天伦，胡北来)，南开大学现代光学研究所(张延炘) |
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| 摘 要： | 本文用计算机仿真研究了一种适于光学实现的非线性神经网络模型的存储客量α_c和寻址能力,提出了一个改进其触突互联矩阵的蒙特卡洛学习算法.数值研究表明,经过学习修正后的神经网络模型的寻址能力及存储容量都有较大的改进.
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| 关 键 词： | 非线性神经网络 存储容量 寻址能力 蒙特卡洛学习算法 |
| 收稿时间： | 1989/8/15 |
A nonlinear neural network suitable for optical implementation and its Monte Carlo algorithm |
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| HUANG WUQUN,GAO CHENGQUM.,GHBM TIANLUN AND HU BEILAI.A nonlinear neural network suitable for optical implementation and its Monte Carlo algorithm[J].Acta Optica Sinica,1990,10(5):446-451. |
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| Authors: | HUANG WUQUN GAO CHENGQUM GHBM TIANLUN AND HU BEILAI |
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| Abstract: | The storage capacity a0 and addressability of a nonlinear neural network suitable for optical implementation have been studied by means of computer simulation. A Monte Carlo algorithm to improve its synaptic interconnection matrix is proposed. The storage capacity and addressability of the neural network after Monte Carlo learning process are both improved considerably. |
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| Keywords: | nonlinear neural networks storage oapasity addressability Monte Carlo learning algorithm |
| 本文献已被 CNKI 等数据库收录！ |
