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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
Source Author(s)/Editor(s): Mehdi Khosrow-Pour (Information Resources Management Association, USA)
DOI: 10.4018/978-1-59140-553-5.ch402
ISBN13: 9781591405535
ISBN10: 159140553X
EISBN13: 9781591407942
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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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