A Fault-Tolerant Regularizer for RBF Networks

In classical training methods for node open fault, we need to consider many potential faulty networks. When the multinode fault situation is considered, the space of potential faulty networks is very large. Hence, the objective function and the corresponding learning algorithm would be computationally complicated. This paper uses the Kullback

• Type: Journal
• Year: 2008
• Where: TNN
• Authors: Chi-Sing Leung, J. P. F. Sum
• Keywords: Multinode Fault Situation, Objective Function, Potential Faulty Networks, TNN 2008