Sensitivity Analysis for Neural Networks 2010th Edition

Ebook Details


Daniel S. Yeung, Ian Cloete, Daming Shi

Year 2009
Pages 86
Publisher Springer
Language en
ISBN 9783642025310
File Size 1.44 MB
File Format PDF
Download Counter 185
Amazon Link

Ebook Description

Artificial neural networks are used to model systems that receive inputs and produce outputs. The relationships between the inputs and outputs and the representation parameters are critical issues in the design of related engineering systems, and sensitivity analysis concerns methods for analyzing these relationships. Perturbations of neural networks are caused by machine imprecision, and they can be simulated by embedding disturbances in the original inputs or connection weights, allowing us to study the characteristics of a function under small perturbations of its parameters.