Co-relation based approach for Pattern Recognition using ANN and its Fault Tolerance Analysis

نویسندگان

  • Farhana Kausar
  • V Vijayalakshmi
  • Zhi-Hua Zhou
  • Shi-Fu Chen
  • Zhao-Qian Chen
  • MargaritaSordo Sanchez
  • David A Medler
  • Michael R W Dawson
  • Dhananjay S Pathak
  • C. T. Chiu
  • K. Mehrotra
  • C. K. Mohan
چکیده

The best pattern recognizers in most instances are human, yet we do not understand how human recognize patterns. The pattern recognition is critical in the human decision task, the more relevant the pattern at your disposal, the better your decision will be. More recently, neural network techniques in pattern recognition have been receiving increasing attention. The design of a recognition system requires careful attention to the following issues: definition of pattern classes, sensing environment, pattern representation, feature extraction and selection, learning, selection of training and test samples. A review of fault tolerance in neural networks is presented. Work relating to the various issues of reliability, complexity and capacity are

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تاریخ انتشار 2013