DocumentCode
2048851
Title
The Application of Error Statistics in Neural Network
Author
Haiqian, He ; Dewei, Peng ; Donghui, Li
Author_Institution
Dept. of Comput. Sci. & Technol., Wuhan Univ. of Technol., Wuhan, China
fYear
2010
fDate
10-12 Aug. 2010
Firstpage
647
Lastpage
649
Abstract
This paper analyzes error distribution between the predictive value and the actual value with the application of Neural Network. Based on Probability theory and Rough set theory, how to revise the predictive value, give more reliable predictive interval and give the degree of confidence are discussed.
Keywords
error statistics; neural nets; probability; rough set theory; error distribution; error statistics; neural network; probability theory; rough set theory; Arrays; Artificial neural networks; Computer science; Data models; Forecasting; Predictive models; Statistical analysis; Error Statistics; Neural Network; Rough set theory; degree of confidence;
fLanguage
English
Publisher
ieee
Conference_Titel
Distributed Computing and Applications to Business Engineering and Science (DCABES), 2010 Ninth International Symposium on
Conference_Location
Hong Kong
Print_ISBN
978-1-4244-7539-1
Type
conf
DOI
10.1109/DCABES.2010.135
Filename
5570844
Link To Document