%0 Journal Article %1 journals/nca/PoyatoAMMF17 %A Carmona-Poyato, Ángel %A Aguilera-Aguilera, Eusebio J. %A Madrid-Cuevas, Francisco José %A Marín-Jiménez, Manuel J. %A García, Nicolás Luis Fernández %D 2017 %J Neural Comput. Appl. %K dblp %N 9 %P 2383-2394 %T New method for obtaining optimal polygonal approximations to solve the min- $$\varepsilon$$ ε problem. %U http://dblp.uni-trier.de/db/journals/nca/nca28.html#PoyatoAMMF17 %V 28

@article{journals/nca/PoyatoAMMF17, added-at = {2024-04-13T00:00:00.000+0200}, author = {Carmona-Poyato, Ángel and Aguilera-Aguilera, Eusebio J. and Madrid-Cuevas, Francisco José and Marín-Jiménez, Manuel J. and García, Nicolás Luis Fernández}, biburl = {https://www.bibsonomy.org/bibtex/25ba4f528c070e11e99505e0a6ebb052e/dblp}, ee = {https://www.wikidata.org/entity/Q57588918}, interhash = {47a2bc61aba28b533d5e16fca4e2123a}, intrahash = {5ba4f528c070e11e99505e0a6ebb052e}, journal = {Neural Comput. Appl.}, keywords = {dblp}, number = 9, pages = {2383-2394}, timestamp = {2024-04-15T07:02:03.000+0200}, title = {New method for obtaining optimal polygonal approximations to solve the min- $$\varepsilon$$ ε problem.}, url = {http://dblp.uni-trier.de/db/journals/nca/nca28.html#PoyatoAMMF17}, volume = 28, year = 2017 }