DocumentCode
531938
Title
The probability characteristic of function approximation based on artificial neural network
Author
Gao, Hongliang
Author_Institution
Dept. of Control Sci. & Eng., Hubei Normal Univ., Huangshi, China
Volume
1
fYear
2010
fDate
22-24 Oct. 2010
Abstract
In this paper, a desirable BP neural network is established for function approximation, and three kinds of concrete function is approximated by the network. The better cases for function approximation is presented, and for one-variable polynomial function, a probability characteristic for successful approximation is brought forward, which reflects the relationship between the number of neurons and the probability of successful function approximation.
Keywords
backpropagation; function approximation; neural nets; probability; BP neural network; artificial neural network; function approximation; one-variable polynomial function; probability characteristic; Artificial neural networks; Statistical analysis; artificial neural network; back-propagation; function approximation; probability characteristic;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location
Taiyuan
Print_ISBN
978-1-4244-7235-2
Electronic_ISBN
978-1-4244-7237-6
Type
conf
DOI
10.1109/ICCASM.2010.5619172
Filename
5619172
Link To Document