Shape Control Learning Algorithm for Neural Networks

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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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  -