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 :
https://search.ricest.ac.ir/dl/search/defaultta.aspx?DTC=49&DC=1584270
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