DocumentCode
1584270
Title
The New Numerical Integration Algorithm Based on Neural Network
Author
Xu, Li Ying ; Li, Li Jun
Author_Institution
Changsha Univ. of Sci. & Technol., Changsha
Volume
1
fYear
2007
Firstpage
325
Lastpage
328
Abstract
The numerical integration is an important computing method in science and engineering. An algorithm of neural network based on cosine and sine basis functions is proposed. It uses the output of neural network to approximate to the integrand by training the weights ak and bk. The accuracy and efficiency of the algorithm presented are verified by numerical examples.
Keywords
integration; learning (artificial intelligence); neural nets; cosine basis functions; neural network; numerical integration algorithm; sine basis functions; Computational modeling; Neural networks; Neurons; Numerical models; Performance analysis; Polynomials;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation, 2007. ICNC 2007. Third International Conference on
Conference_Location
Haikou
Print_ISBN
978-0-7695-2875-5
Type
conf
DOI
10.1109/ICNC.2007.730
Filename
4344207
Link To Document