A New Component Redundancy Method in the Fault Tolerance of MLP
Xu Li · Dianzi xuebao · 2000
There are 2 main methods in the research of fault tolerance of Multilayer Perceptrons (MLP):improvement in the learning algorithm and components redundancy.Phatak presented a network architecture of components redundancy to achieve the fault tolerance of the network,but the number of redundant components is too large,especially to the large network.A new architecture is presented in this paper,especially to the single fault tolerance of the single hidden layer MLP.In this architecture,the different importance of the weights is considered,thus the weight bottleneck problem is solved,and the number of redundant components is substantially reduced.So there's great superiority in this architecture,especially to the large network.