Li-Hopfield neural network used for Chinese character recognition
Rui Min · Journal of Nanjing University of Information Science & Technology · 2010
In order to solve the problems in Hopfield neural networks,such as integration terms in energy function, convergence with oscillation,and complexity in computation,a novel Li-Hopfield neural network is proposed. It can not only solve the above-mentioned problems,but also inherit the structure of Hopfield neural network and the merits of Li neural network. Meanwhile,we find Chinese character recognition based on indexing components can ignore,even can utilize,the spurious stable points( SSP) in this network. Experiments demonstrate that the sample storage for this method is reduced to 1. 44% of that for the traditional method. Thus,the proposed method is effective and fast.