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  • 标题:A Hybrid Rough-Neuro model For Diagnosing Erythemato-Squamous Diseases
  • 本地全文:下载
  • 作者:Shahenda Sarhan ; Enas Elharir ; Magdi Zakaria
  • 期刊名称:International Journal of Computer Science Issues
  • 印刷版ISSN:1694-0784
  • 电子版ISSN:1694-0814
  • 出版年度:2014
  • 卷号:11
  • 期号:1
  • 出版社:IJCSI Press
  • 摘要:In this paper, a Rough-Neuro hybrid methodology of the diagnostic process is proposed as a means to achieve accurate diagnosing of Erythemato-Squamous diseases. The methodology incorporates a two-stage hybrid mechanism. Rough sets Johnson Reducer for reduction of relevant attributes and artificial neural network Levenberg-Marquardt algorithm for the classification of the diseases. The model achieved really good results in the diagnosing process that approached 98.8% diagnosing accuracy.
  • 关键词:Dermatology; Erythemato;Squamous diseases; Rough set; Reducts; Artificial Neural Networks.
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