TY  - JOUR 
AU  - Navarro Cáceres, María
AU  - González Arrieta, María Angélica
AU  - De Paz, Juan F.
AU  - Bajo Pérez, Javier
AU  - Rodríguez González, Sara
PY  - 2013
SN  - 978-3-319-00550-8(Print) / 978-3-319-00551-5(Online)
SN  - 2194-5357(Print) / 2194-5365(Online)
UR  - http://dx.doi.org/10.1007/978-3-319-00551-5_42
UR  - http://hdl.handle.net/10366/135172
AB  - The research offers a quite simple view of methods to classify edible and poisonous mushrooms. In fact, we are looking for not only classification methods but also for an application which supports experts’ decisions. To achieve our aim, we will study...
LA  - en
PB  - Springer Science + Business Media
KW  - Computer Science
TI  - Automatic Prediction of Poisonous Mushrooms by Connectionist Systems
ER  -