摘要
将混沌系统和对角递归神经网络结合,提出了一种新的神经网络.设计了混沌对角递归神经网络的结构和它的学习算法,并将其应用到图像压缩.通过仿真试验证明混沌对角神经网络在重建图像效果等方面的性能优于传统对角神经网络.
In this paper,we propose a novel neural network which is based on diagonal neural network and chaos. We study its structure and design some learning algorithm. Then we apply this network to image compression and the result of simulation tests shows that it＇s superior to traditional diagonal networks in the training effect of image reconstruction.
出处
《河北师范大学学报（自然科学版）》
CAS
2015年第5期387-392,共6页
Journal of Hebei Normal University：Natural Science
基金
河北省科技支撑计划项目(151790531A
13210301D)
河北省高等学校科学研究项目(20130209
QN2014163
QN2014168)
关键词
对角神经网络
混沌
图像压缩
diagonal neural network
chaos
image compression
