Title :
Dermatology Disease Classification via Novel Evolutionary Artificial Neural Network
Author :
Azzini, Antonia ; Marrara, Stefania
Author_Institution :
Univ. of Milan, Crema
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.
Keywords :
diseases; genetic algorithms; medical computing; neural nets; patient diagnosis; pattern classification; skin; biologically inspired computational model; dermatology disease classification; evolutionary algorithm; evolutionary artificial neural network; neuro-genetic approach; Algorithm design and analysis; Artificial neural networks; Backpropagation algorithms; Computer networks; Decoding; Design optimization; Diseases; Evolution (biology); Evolutionary computation; Neural networks;
Conference_Titel :
Database and Expert Systems Applications, 2007. DEXA '07. 18th International Workshop on
Conference_Location :
Regensburg
Print_ISBN :
978-0-7695-2932-5
DOI :
10.1109/DEXA.2007.71
