Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1139671 | Mathematics and Computers in Simulation | 2012 | 11 Pages |
Abstract
In this paper, we show that noise can transform a hybrid neural networks, whose solution may grow exponentially, into a new stochastic one, whose solution grows at most polynomially. In other words, we reveal that noise can suppress the exponential growth in hybrid Hopfield neural networks.
Related Topics
Physical Sciences and Engineering
Engineering
Control and Systems Engineering
Authors
Song Zhu, Yi Shen, Guici Chen,