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
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;
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
DOI :
10.1109/CICC-ITOE.2010.101
