DocumentCode
552524
Title
A comparison of sensitivity definitions based on expectation and variance
Author
Xu, Ning ; Li, Chun-guo
Author_Institution
Sch.´´s Conciliation Board, Hebei Univ., Baoding, China
Volume
2
fYear
2011
fDate
10-13 July 2011
Firstpage
644
Lastpage
647
Abstract
The sensitivity analysis plays a very important role in the construct of a network and its application. There has been two statistical definitions based on expectation and variance respectively. This paper compares the two definitions and tries to find which definition is more suitable to define the sensitivity of one network. According to the immediate aspect and simulation experiments, mathematical expectation fits the definition more accurately.
Keywords
mathematical analysis; sensitivity analysis; statistical analysis; mathematical expectation; sensitivity analysis; sensitivity definition; statistical definition; Biological neural networks; Cybernetics; Machine learning; Probability distribution; Random variables; Sensitivity analysis; MLP; Mathematical expectation; Sensitivity definition; variance;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics (ICMLC), 2011 International Conference on
Conference_Location
Guilin
ISSN
2160-133X
Print_ISBN
978-1-4577-0305-8
Type
conf
DOI
10.1109/ICMLC.2011.6016814
Filename
6016814
Link To Document