Shape Control Learning Algorithm for Neural Networks
Authors
Daiyuan Zhang
Corresponding Author
Daiyuan Zhang
Available Online March 2013.
- DOI
- 10.2991/iccsee.2013.618How to use a DOI?
- Keywords
- neural network, weight function, rational spline, shape control
- Abstract
A new kind of shape control learning algorithm (SCLA) for training neural networks is proposed. We use the rational cubic spline (with quadratic denominator) to implement a new neural system for shape control, and construct a new kind of artificial neural networks based on given patterns. The shape can be controlled by some shape parameters, which is much different from the known algorithms for training neural networks. The numerical experiments indicate that the new method proposed in this paper demonstrates good results.
- Copyright
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Daiyuan Zhang PY - 2013/03 DA - 2013/03 TI - Shape Control Learning Algorithm for Neural Networks BT - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013) PB - Atlantis Press SP - 2468 EP - 2471 SN - 1951-6851 UR - https://doi.org/10.2991/iccsee.2013.618 DO - 10.2991/iccsee.2013.618 ID - Zhang2013/03 ER -