• RecordNumber
    2
  • Author

    Yijiang Jin, Shaoping Ma

  • Title of Article

    A Neural-Network Dimension Reduction Method for Large-Set Pattern Classification

  • Title Of Journal
    Lecture Notes in Computer Science
  • Publication Year
    2000
  • Volum
    1948/2000
  • Page
    426-433
  • Keywords
    Dimension Reduction , Neural Network , Principal Components Analysis , Chinese Character Recognition
  • Notes
    براي دانلود و مشاهده مقاله به قسمت لينكهاي مرتبط مراجعه نماييد
  • Abstract
    High-dimensional data are often too complex to be classified. K-L transformation is an effective dimension reduction method. However its result is not satisfactory in large-set pattern classification. In this paper a novel nonlinear dimension reduction method is presented and analyzed. The transform is achieved through a multi-layer feed-forward neural network trained with K-L transformation result. Experimental results show that this method is more effective than K-L transformation being applied in large-set pattern classification such as Chinese character recognition.
  • URL
    http://www.springerlink.com/content/1kke84qttpbt43yn/,/DL/Data Entry/DataEntryForm/EnterDocInfo.aspx,/DL/Data Entry/NewEdit/Documents/Math_English_Electronic_Articles_EditDoc_925.aspx
    • Link To Document
    https://math.iranlibs.ir/dl/search/default.aspx?Term=2&Field=0&DTC=14