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Hopfield改进模型的存储容量与编码
引用本文:陈谋智,骆万发.Hopfield改进模型的存储容量与编码[J].厦门大学学报(自然科学版),1993,32(6):701-706.
作者姓名:陈谋智  骆万发
作者单位:厦门大学物理学系 (陈谋智,骆万发,郭东辉,陈振湘,刘瑞堂),厦门大学物理学系(吴伯僖)
摘    要:根据对Hopfield神经网络改进模型大量的计算模拟实验,证明了这种存储矩阵对角元Tii=1的改进模型具有比Tii=0的原模型更大的存储容量和更强的纠错能力,并通过对二元矢量的编码,使得这个模型存储容量和纠错能力得到进一步提高。

关 键 词:Hopfield模型  纠错  编码  神经网络

The Storing Capacity of the Modified Hopfield Model and Coding
Chen Mouzhi Luo Wanfa Guo DonghuiChen Zhenxiang Liu Ruitang Wu Boxi.The Storing Capacity of the Modified Hopfield Model and Coding[J].Journal of Xiamen University(Natural Science),1993,32(6):701-706.
Authors:Chen Mouzhi Luo Wanfa Guo DonghuiChen Zhenxiang Liu Ruitang Wu Boxi
Institution:Dept. of Phys.
Abstract:Based on a lot of computation at the modified Hopfield Model of Neural Network,it has been proved that the modified model, in its storing matrix the diagonal element Ta=1 has greater storing capacity and error correcting ability than the original Hop-field model with Tit = 0. And by coding bino-vector, the storing capacity and error correcting ability of the modified model will be further increased.
Keywords:Hopfield model  Error correcting  Coding  
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