%0 Conference Paper %1 1627448 %A Iancu, Eugen %A Iancu, Ionela %A Istrate, Dan %A Mota, Maria %B SMO'09: Proceedings of the 9th WSEAS international conference on Simulation, modelling and optimization %C Stevens Point, Wisconsin, USA %D 2009 %I World Scientific and Engineering Academy and Society (WSEAS) %K application health-care neural_networks %P 407--412 %T Glucose level prediction using artificial neural networks %@ 978-960-474-113-7

@inproceedings{1627448, added-at = {2010-03-17T14:56:45.000+0100}, address = {Stevens Point, Wisconsin, USA}, author = {Iancu, Eugen and Iancu, Ionela and Istrate, Dan and Mota, Maria}, biburl = {https://www.bibsonomy.org/bibtex/2b786bef6df08a520e24e5feff26cda13/andrea.zanda}, booktitle = {SMO'09: Proceedings of the 9th WSEAS international conference on Simulation, modelling and optimization}, description = {rskt}, interhash = {0ba2d30bbadd2adba0eb857833858cac}, intrahash = {b786bef6df08a520e24e5feff26cda13}, isbn = {978-960-474-113-7}, keywords = {application health-care neural_networks}, location = {Budapest, Hungary}, pages = {407--412}, publisher = {World Scientific and Engineering Academy and Society (WSEAS)}, timestamp = {2010-03-17T15:01:58.000+0100}, title = {Glucose level prediction using artificial neural networks}, year = 2009 }