Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)

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/).

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Volume Title
Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
Series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
978-90-78677-61-1
ISSN
1951-6851
DOI
10.2991/iccsee.2013.618How to use a DOI?
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  -