回归相关神经网络的分析与改进

ANALYSIS AND IMPROVEMENT OF RECURRENT CORRELATION NEURAL NETWORKS

本文分析了回归相关神经网络容量与动态范围之间的关系,指出在一定条件下,回归相关神经网络具有很高的存储容量。最后给出了几种改进网络性能的方案。

This paper analyzes the relationship between capacity and dynamics in recurrent correlation neural network, and points out that in some conditions the recurrent correlation neural network has high memory capacity. Then this paper presents several methods for improving the performance.