Abstract
The weight shifting technique for recovering faulty neural network has been proposed based on the assumption that the weights of the faulty links are known. In this paper, a technique for detecting the faulty links and determining the faulty weights in single-output two-layered feedforward neural networks is presented. This type of network architecture has been used in various applications, especially in business-related applications. The determination of faulty weights is achieved through slight neuron modification and the use of probing vectors. The technique can be implemented on a neural network chip.
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