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
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;
Conference_Titel :
Internet Computing & Information Services (ICICIS), 2011 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4577-1561-7
DOI :
10.1109/ICICIS.2011.128