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View all- Sibai FKulkarni S(1997)A Time-Multiplexed Reconfigurable NeuroprocessorIEEE Micro10.1109/40.56620817:1(58-65)Online publication date: 1-Jan-1997
This paper introduces an implementation method of multiple weight as well as neuron fault-tolerant multilayer neural networks. Their fault-tolerance is derived from our extended back propagation learning algorithm called the deep learning method. The ...
While significant results are available which allow estimation of reliability measure for systems with permanent faults, no generally applicable results are available for intermittent (transient) faults. Methods are presented here which allow ...
Two simple but useful methods, called the deep learning methods, for making multilayer neural networks tolerant to multiple link-weight and neuron-output faults, are proposed. The methods make the output errors in learning phase smaller than those in ...
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