article · Applied Mechanics and Materials · 2012
Rational Function Functional Networks Based on Function Approximation
Dong Dong Wang, You Jun Chen, Hai Jie Pang
Cited by 1Abstract and details only
Abstract
In order to solve function approximation, a mathematic model of Rational Function Functional Networks (RFFN) based on approximation was proposed and the learning algorithm for function approximation was presented. This algorithm used the lease square method thought and constructed auxiliary function by Lagrange multiplier method, and the parameters of the rational function functional networks were determined by solving a system of linear equations. Results illustrate the effectiveness of the rational function functional networks in solving approximation problems of the function with a pole.
Cite this paper
Wang, D. D., Chen, Y. J., & Pang, H. J. (2012). Rational Function Functional Networks Based on Function Approximation. Applied Mechanics and Materials, 220-223, 2264–2268. https://doi.org/10.4028/www.scientific.net/amm.220-223.2264
Wang, Dong Dong, et al. “Rational Function Functional Networks Based on Function Approximation.” Applied Mechanics and Materials, vol. 220-223, 2012, pp. 2264–68, https://doi.org/10.4028/www.scientific.net/amm.220-223.2264.
Wang, Dong Dong, You Jun Chen, and Hai Jie Pang. 2012. “Rational Function Functional Networks Based on Function Approximation.” Applied Mechanics and Materials 220-223: 2264–68. https://doi.org/10.4028/www.scientific.net/amm.220-223.2264.
Wang, D.D., Chen, Y.J. and Pang, H.J. (2012) ‘Rational Function Functional Networks Based on Function Approximation’, Applied Mechanics and Materials, 220-223, pp. 2264–2268. Available at: https://doi.org/10.4028/www.scientific.net/amm.220-223.2264.
@article{wang2012rational,
title = {{Rational Function Functional Networks Based on Function Approximation}},
author = {Wang, Dong Dong and Chen, You Jun and Pang, Hai Jie},
journal = {Applied Mechanics and Materials},
volume = {220-223},
pages = {2264--2268},
year = {2012},
doi = {10.4028/www.scientific.net/amm.220-223.2264}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.