A Hybrid Neural Network System for Pattern Classification Tasks with Missing Features

  • Authors:
  • Chee-Peng Lim;Jenn-Hwai Leong;Mei-Ming Kuan

  • Affiliations:
  • -;-;-

  • Venue:
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Year:
  • 2005

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Abstract

A hybrid neural network comprising Fuzzy ARTMAP and Fuzzy C--Means Clustering is proposed for pattern classification with incomplete training and test data. Two benchmark problems and a real medical pattern classification task are employed to evaluate the effectiveness of the hybrid network. The results are analyzed and compared with those from other methods.