Proceedings of the 2015 International Conference on Industrial Technology and Management Science

The Time Complexity Analysis for a Kind of Neural Network with Rational Spline Functions

Authors
Daiyuan Zhang, Hongyan Bao
Corresponding Author
Daiyuan Zhang
Available Online November 2015.
DOI
https://doi.org/10.2991/itms-15.2015.435How to use a DOI?
Keywords
Neural Network; Rational Spline Function; Weight Function; Time Complexity
Abstract
Based on the results of weight function neural networks, the time complexity for a kind of neural network with rational spline functions is analyzed. We derive the complexity results by interpolation theories and algorithms. We find a linear relationship between the time complexity and the number of patterns. We also conclude that the time complexity is proportional to the input and output dimensions of the neural network. It shows that the results proposed in this paper have many potential applications.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2015 International Conference on Industrial Technology and Management Science
Part of series
Advances in Computer Science Research
Publication Date
November 2015
ISBN
978-94-6252-123-0
ISSN
2352-538X
DOI
https://doi.org/10.2991/itms-15.2015.435How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Daiyuan Zhang
AU  - Hongyan Bao
PY  - 2015/11
DA  - 2015/11
TI  - The Time Complexity Analysis for a Kind of Neural Network with Rational Spline Functions
BT  - 2015 International Conference on Industrial Technology and Management Science
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/itms-15.2015.435
DO  - https://doi.org/10.2991/itms-15.2015.435
ID  - Zhang2015/11
ER  -