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文章基本信息

  • 标题:Optimizing Number of Inputs to Classify Breast Cancer Using Artificial Neural Network
  • 作者:Bindu Garg ; M.M. Sufian Beg ; A.Q. Ansari
  • 期刊名称:Journal of Computer Science & Systems Biology
  • 印刷版ISSN:0974-7230
  • 出版年度:2009
  • 卷号:2
  • 期号:4
  • 页码:247-254
  • DOI:10.4172/jcsb.1000037
  • 出版社:OMICS Publishing Group
  • 摘要:The Objective of this research work is to prove significant role of each attribute to decide breast cancer type using Computer Aided Diagnosis. One of major challenges in medical domain is the extraction of intelligible knowledge from medical diagnostic data in minimum time and cost This research shows that out of these attributes stated, some attributes can be ignored to decide the type Breast Cancer as if the number of inputs are less then it reduces the time and cost in analyzing the breast cancer. In this paper, significant role of each attribute is proved by experiment in matlab.
  • 关键词:ANN; Back propagation; Perceptron; Adaptive; Commutative
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