北京科技大学学报2012，Vol.34Issue(2)：217-222,6.
回声状态网络的研究进展
Review on echo state networks
摘要
Abstract
The echo state network（ESN） is a novel kind of recurrent neural network and has recently become a hot topic for its easy and distinctive training method along with high performance.In ESN,the reservoir computing method is introduced,which is a completely new approach used to design a recurrent neural network.By comparing this novel model with existing recurrent neural network models,it can overcome the difficulty encountered in slow convergence and local minimum in the gradient descent based training algorithm.Currently,there is considerable enthusiasm for the research and application of ESN.A review on ESN is presented in this paper.The advantages and drawbacks of ESN and various improvements are analyzed.Finally,some future research directions are also discussed.关键词
回声状态网络/储备池计算/递归神经网络Key words
echo state networks/reservoir computing/recurrent neural networks分类
信息技术与安全科学引用本文复制引用
罗熊,黎江,孙增圻..回声状态网络的研究进展[J].北京科技大学学报,2012,34(2):217-222,6.基金项目
国家自然科学基金资助项目（61174103 （）
61074066 （）
61004021） （）
中央高校基本科研业务费专项资金资助项目 （）
