%0 Conference Paper %1 conf/icoin/ChanIK20 %A Chan, Ka-Hou %A Im, Sio Kei %A Ke, Wei %B ICOIN %D 2020 %I IEEE %K dblp %P 447-452 %T Self-Adaptive Layer: An Application of Function Approximation Theory to Enhance Convergence Efficiency in Neural Networks. %U http://dblp.uni-trier.de/db/conf/icoin/icoin2020.html#ChanIK20 %@ 978-1-7281-4199-2

@inproceedings{conf/icoin/ChanIK20, added-at = {2023-03-23T00:00:00.000+0100}, author = {Chan, Ka-Hou and Im, Sio Kei and Ke, Wei}, biburl = {https://www.bibsonomy.org/bibtex/278aad872d61e8487d52f9b454ee116cc/dblp}, booktitle = {ICOIN}, crossref = {conf/icoin/2020}, ee = {https://doi.org/10.1109/ICOIN48656.2020.9016534}, interhash = {7161906590c19cf3856c72b3152c0845}, intrahash = {78aad872d61e8487d52f9b454ee116cc}, isbn = {978-1-7281-4199-2}, keywords = {dblp}, pages = {447-452}, publisher = {IEEE}, timestamp = {2024-04-10T16:51:24.000+0200}, title = {Self-Adaptive Layer: An Application of Function Approximation Theory to Enhance Convergence Efficiency in Neural Networks.}, url = {http://dblp.uni-trier.de/db/conf/icoin/icoin2020.html#ChanIK20}, year = 2020 }