• DocumentCode
    3422932
  • Title

    Dermatology Disease Classification via Novel Evolutionary Artificial Neural Network

  • Author

    Azzini, Antonia ; Marrara, Stefania

  • Author_Institution
    Univ. of Milan, Crema
  • fYear
    2007
  • fDate
    3-7 Sept. 2007
  • Firstpage
    148
  • Lastpage
    152
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Database and Expert Systems Applications, 2007. DEXA '07. 18th International Workshop on
  • Conference_Location
    Regensburg
  • ISSN
    1529-4188
  • Print_ISBN
    978-0-7695-2932-5
  • Type

    conf

  • DOI
    10.1109/DEXA.2007.71
  • Filename
    4312875
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3422932