A Measure of Noise Immunity for Functional Networks

Authors:
Enrique Castillo;Oscar Fontenla-Romero;Bertha Guijarro-Berdiñas;Amparo Alonso-Betanzos
Affiliations:
-;-;-;-
Venue:
IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Connectionist Models of Neurons, Learning Processes and Artificial Intelligence-Part I
Year:
2001

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Abstract

In this paper a study of the influence of input perturbations on a functional network is presented. A quantitative measure, related to the mean squared error degradation in presence of input noise, is introduced. This measure, based on statistical sensitivity, provides an estimation of the generalization ability and noise immunity of functional networks and lets to predict the performance degradation of a functional network. The experimental results corroborated the validity of the proposed model.