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Perturbations, Accuracy and Robustness in Neural Networks

Perturbations, Accuracy and Robustness in Neural Networks
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Author(s): Cesare Alippi (Politecnico Di Milano, Italy) and Giovanni Vanini (Politecnico Di Milano, Italy)
Copyright: 2005
Pages: 6
Source title: Encyclopedia of Information Science and Technology, First Edition
Source Author(s)/Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-59140-553-5.ch402

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Abstract

A robustness analysis for neural networks, namely the evaluation of the effects induced by perturbations affecting the network weights, is a relevant theoretical aspect since weights characterise the “knowledge space” of the neural model and, hence, its inner nature.

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