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 :
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