Title page for etd-0726101-051513


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URN etd-0726101-051513
Author Chieh-Neng Young
Author's Email Address opt@CDPA.nsysu.edu.tw
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Department Mechanical Engineering
Year 2000
Semester 2
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title A New Method for Finding the Decision Boundary Region for Pattern Recognition Problems
Date of Defense 2001-06-29
Page Count 75
Keyword
  • Pattern recognition
  • Decision boundary
  • Nearest neighbor rule
  • Neural Networks
  • Classification
  • Abstract It has been shown that focusing the training algorithms to the decision boundary vicinity data can improve the accuracy of several classification methods. However, previous approaches for fining decision boundary vicinity data are either computationally tedious or may perform poorly in handling problems with class overlapping. With the application of the nearest neighbor rule, this work proposes a new criterion to characterize the nearness of the training samples to the decision boundary. To demonstrate the effectiveness of the proposed approach, the proposed method is integrated with a nearest neighbor classifier design method and a neural work training approach. Experimental results show that the proposed method can reduce the size and classification error for both of the tested classifiers.
    Advisory Committee
  • Chi-Cheng Cheng - chair
  • Innchyn Her - co-chair
  • Chen-Wen Yen - advisor
  • Files
  • etd-0726101-051513.pdf
  • indicate access worldwide
    Date of Submission 2001-07-26

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