Proceedings of the 2018 International Conference on Computer Modeling, Simulation and Algorithm (CMSA 2018)

The Enhancement Arithmetic of BP Neural Network Based on Target Optimizing

Authors
Shuang Shi, Daqi Zhang, Pengfei Feng, Lingli Han
Corresponding Author
Shuang Shi
Available Online April 2018.
DOI
10.2991/cmsa-18.2018.32How to use a DOI?
Keywords
BP neural network; quadratic programming; target optimizing
Abstract

BP neural network recognition algorithm was used to carry through target recognition, then we adopted quadratic programming and generalized least squares to optimize the network weights and thresholds, at last the algorithm formula was deduced. In the neural network training process, a tendentious training was achieved. Experiments show that the algorithm had a better effect.

Copyright
© 2018, 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 2018 International Conference on Computer Modeling, Simulation and Algorithm (CMSA 2018)
Series
Advances in Intelligent Systems Research
Publication Date
April 2018
ISBN
978-94-6252-523-8
ISSN
1951-6851
DOI
10.2991/cmsa-18.2018.32How to use a DOI?
Copyright
© 2018, 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  - Shuang Shi
AU  - Daqi Zhang
AU  - Pengfei Feng
AU  - Lingli Han
PY  - 2018/04
DA  - 2018/04
TI  - The Enhancement Arithmetic of BP Neural Network Based on Target Optimizing
BT  - Proceedings of the 2018 International Conference on Computer Modeling, Simulation and Algorithm (CMSA 2018)
PB  - Atlantis Press
SP  - 137
EP  - 141
SN  - 1951-6851
UR  - https://doi.org/10.2991/cmsa-18.2018.32
DO  - 10.2991/cmsa-18.2018.32
ID  - Shi2018/04
ER  -