%0 Conference Paper %1 conf/ijcnn/HuangWYQ17 %A Huang, Xiao %A Wu, Wei %A Yin, Peijie %A Qiao, Hong %B IJCNN %D 2017 %I IEEE %K dblp %P 873-879 %T Improving learning efficiency of recurrent neural network through adjusting weights of all layers in a biologically-inspired framework. %U http://dblp.uni-trier.de/db/conf/ijcnn/ijcnn2017.html#HuangWYQ17 %@ 978-1-5090-6182-2

@inproceedings{conf/ijcnn/HuangWYQ17, added-at = {2017-07-10T00:00:00.000+0200}, author = {Huang, Xiao and Wu, Wei and Yin, Peijie and Qiao, Hong}, biburl = {https://www.bibsonomy.org/bibtex/2d77411cf66720f52fc58edb8186342f9/dblp}, booktitle = {IJCNN}, crossref = {conf/ijcnn/2017}, ee = {https://doi.org/10.1109/IJCNN.2017.7965944}, interhash = {59286f7856fb823d811d1f0ee1f7022c}, intrahash = {d77411cf66720f52fc58edb8186342f9}, isbn = {978-1-5090-6182-2}, keywords = {dblp}, pages = {873-879}, publisher = {IEEE}, timestamp = {2017-07-11T11:46:08.000+0200}, title = {Improving learning efficiency of recurrent neural network through adjusting weights of all layers in a biologically-inspired framework.}, url = {http://dblp.uni-trier.de/db/conf/ijcnn/ijcnn2017.html#HuangWYQ17}, year = 2017 }