Neuro-genetic systems are biologically inspired computational models that use evolutionary algorithms (EAs) in conjunction with neural networks (NNs) to solve problems. They are especially useful in classification problems in which classifier systems are not able to provide easy answers. In this paper a novel neuro-genetic approach is used in order to predict a known classification problem, related to dermatology diseases.
Dermatology disease classification via novel evolutionary artificial neural network / A. Azzini, S. Marrara - In: Eighteenth international workshop on database and expert systems applications : DEXA 2007 : 3-7 september 2007, Regensburg, Germany : proceedings / [a cura di] A.M. Tjoa, R.R. Wagner. - Los Alamitos : Institute of electrical and electronics engineers, 2007. - ISBN 9780769529325. - pp. 148-152 (( Intervento presentato al 18. convegno International Conference on Database and Expert Systems Applications (DEXA) tenutosi a Regensburg, Germany nel 2007.
Dermatology disease classification via novel evolutionary artificial neural network
A. AzziniPrimo
;S. MarraraUltimo
2007
Abstract
Neuro-genetic systems are biologically inspired computational models that use evolutionary algorithms (EAs) in conjunction with neural networks (NNs) to solve problems. They are especially useful in classification problems in which classifier systems are not able to provide easy answers. In this paper a novel neuro-genetic approach is used in order to predict a known classification problem, related to dermatology diseases.
| File | Dimensione | Formato | |
|---|---|---|---|
|
etid07.pdf
accesso aperto
Tipologia:
Pre-print (manoscritto inviato all'editore)
Dimensione
144.76 kB
Formato
Adobe PDF
|
144.76 kB | Adobe PDF | Visualizza/Apri |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
