On the objective function and learning algorithm for concurrent open node fault

  • Authors:
  • Chi Sing Leung;Pui Fai Sum;Kai-Tat Ng

  • Affiliations:
  • Dept. of Electronic Engineering, City University of Hong Kong, Hong Kong;Institute of Technology Management, National Chung Hsing University, Taiwan;Dept. of Electronic Engineering, City University of Hong Kong, Hong Kong

  • Venue:
  • ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part III
  • Year:
  • 2012

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Abstract

This paper studies the performance of faulty RBF networks when stuck-at-zero node fault and stuck-at-one node fault happen. An objective function for training fault tolerant RBF networks for node fault is first derived. A training learning algorithm for faulty RBF networks is then presented. Finally, a mean prediction error formula which can estimate the test set error of faulty networks is derived. Simulation experiments are then performed to verify our theoretical result.