NDLI: Sensitivity analysis of multilayer percetron based on elastic function

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Proceedings. International Conference on Machine Learning and Cybernetics

Sensitivity analysis of multilayer percetron based on elastic function

Content Provider	IEEE Xplore Digital Library
Author	Chun-Guo Li Hai-Feng Li Yu-Fen Zhang Qun-Feng Zhang
Copyright Year	2010
Description	Author affiliation: Machine Learning Center, Faculty of Mathematics and Computer Science, Hebei University, Baoding 071002, China (Chun-Guo Li; Yu-Fen Zhang; Qun-Feng Zhang) \|\| Department of Educational Administration, Hebei University, Baoding 071002, China (Hai-Feng Li)
Abstract	The sensitivity analysis can help to construct a tightly neural network. There are several methods to define the sensitivity of input and weight for perturbations to the trained neural network. This paper proposed a sensitivity definition based on elastic function. This definition considers the measure of the variable of the reference network. The sensitivity calculating formulae are deduced for perceptron and MLP.
Starting Page	1490
Ending Page	1493
File Size	85689
Page Count	4
File Format	PDF
ISBN	9781424465262
e-ISBN	9781424465279
DOI	10.1109/ICMLC.2010.5580843
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-11
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Artificial neural networks Neurons Sensitivity analysis Machine learning Cybernetics Multilayer perceptrons MLP Elastic function Sensitivity definition Perceptron
Content Type	Text
Resource Type	Article

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