DocumentCode
2100371
Title
An Engineering Solution to Taylor Series Expansion Coefficients Based on BP Neural Network
Author
Hu, Zhongzhong ; Wu, Helei ; Zhu, Shuyun
Author_Institution
Sch. of Inf. Eng., Nanchang Univ., Nanchang, China
fYear
2011
fDate
17-18 Sept. 2011
Firstpage
491
Lastpage
494
Abstract
One method of obtaining the Taylor Series Expansion Coefficients, which are suitable for engineering application, are presented: Artificial neural network(ANN) , by virtue of its high nonlinear and learning abilities. The Taylor Series (TS) can be represented as a standard 3-layers feed-forward neural network after transforming in which the weights are correspond to the Taylor Coefficients. Therefore, the Taylor Coefficients can be determined by using Back Propagation (BP) algorithm. In the methods, we only need the sample space of the original function. So the method have the value of application in industries.
Keywords
backpropagation; engineering computing; feedforward neural nets; learning (artificial intelligence); series (mathematics); BP neural network; Taylor series expansion coefficient; artificial neural network; backpropagation algorithm; engineering application; learning ability; standard 3-layers feedforward neural network; Biological neural networks; Educational institutions; Function approximation; Mathematical model; Taylor series; Training; BP Neural Network; Back Prooagation (BP) algorithm; Talor coefficients;
fLanguage
English
Publisher
ieee
Conference_Titel
Internet Computing & Information Services (ICICIS), 2011 International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4577-1561-7
Type
conf
DOI
10.1109/ICICIS.2011.128
Filename
6063306
Link To Document