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Improving Learning Efficiency of Recurrent Neural Network through Adjusting Weights of All Layers in a Biologically-inspired Framework 会议论文
Anchorage, AK, USA, 2017-5-14
作者:  Huang, Xiao;  Wu, Wei;  Yin, Peijie;  Qiao, Hong
收藏  |  浏览/下载:1/0  |  提交时间:2020/06/09
Improving learning efficiency of recurrent neural network through adjusting weights of all layers in a biologically-inspired framework 会议论文
Anchorage, Alaska, 14-19 May 2017
作者:  Xiao Huang;  Wei Wu;  Peijie Yin;  Hong Qiao
收藏  |  浏览/下载:23/0  |  提交时间:2018/01/06
Transfer classification for distinct manifestations with shared information 会议论文
12th World Congress on Intelligent Control and Automation (WCICA), Guilin, PEOPLES R CHINA, JUN 12-15, 2016
作者:  Qi, Lu;  Yin, Peijie;  Huang, Xiayuan;  Chen, Ken;  Qiao, Hong
收藏  |  浏览/下载:24/0  |  提交时间:2017/01/13
NFLB dropout: Improve generalization ability by dropping out the best -A biologically inspired adaptive dropout method for unsupervised learning 会议论文
2016 International Joint Conference on Neural Networks (IJCNN), Vancouver, BC, Canada, 24-29 July 2016
作者:  Peijie Yin;  Lu Qi;  Xuanyang Xi;  Bo Zhang;  Hong Qiao
收藏  |  浏览/下载:15/0  |  提交时间:2017/01/13
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