Robustness of feedforward neural networks

Methods are developed for measuring the sensitivity of links and nodes of a feedforward neural network, and for implementing a technique to ensure the development of neural networks that satisfy well-defined robustness criteria. Experimental observations indicate that performance degradation in the authors´ robust feedforward network is significantly less than a randomly trained feedforward network of the same size by an order of magnitude