DocumentCode
1968040
Title
A Learning Algorithm and Model of Taylor´s Formula Based on Functional Network
Author
Liu, Xianghu ; Li, Yanfang
Author_Institution
Dept. of Math., Univ. of Yuncheng, Yuncheng, China
fYear
2010
fDate
30-31 Jan. 2010
Firstpage
229
Lastpage
232
Abstract
In this paper, a computation model and learning algorithm of Taylor´s Formula based on functional network are proposed. it can be used to solve Taylor´s Formula of some functions and get the approximate result, avoiding to computing the higher-order derivative, the simulation results demonstrate that the method presented in the paper is more efficient and feasible . it provide a new method to compute the Taylor´s Formula used in other fields.
Keywords
learning (artificial intelligence); neural nets; Taylor formula model; functional network; higher-order derivative; learning algorithm; Artificial neural networks; Computational modeling; Computer networks; Information technology; Mathematical model; Neurons; Physics computing; Polynomials; Taylor series; Underwater communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovative Computing & Communication, 2010 Intl Conf on and Information Technology & Ocean Engineering, 2010 Asia-Pacific Conf on (CICC-ITOE)
Conference_Location
Macao
Print_ISBN
978-1-4244-5634-5
Electronic_ISBN
978-1-4244-5635-2
Type
conf
DOI
10.1109/CICC-ITOE.2010.101
Filename
5439252
Link To Document