Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)

Application and Optimization of Image Fuzzy Control Algorithm based on Gaussian Blur in TensorFlow Training

Authors
Yongjun Zhang, Feiyang Ma
Corresponding Author
Feiyang Ma
Available Online April 2019.
DOI
https://doi.org/10.2991/icmeit-19.2019.137How to use a DOI?
Keywords
TensorFlow, Gaussian fuzzy algorithm, the convolutional neural network, the fuzzy control algorithm.
Abstract
When training a convolutional neural network that can interpret picture ambiguity, a large number of pictures with different ambiguities are needed as a training set. This paper introduces a method to adjust the image ambiguity by adjusting the parameters in the Gaussian fuzzy algorithm. Finally, the convolutional neural network training based on TensorFlow migration learning is completed, and the ambiguity judgment of the image is realized, and the optimization effect of the fuzzy control algorithm is verified.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
Part of series
Advances in Computer Science Research
Publication Date
April 2019
ISBN
978-94-6252-708-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmeit-19.2019.137How 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  - Yongjun Zhang
AU  - Feiyang Ma
PY  - 2019/04
DA  - 2019/04
TI  - Application and Optimization of Image Fuzzy Control Algorithm based on Gaussian Blur in TensorFlow Training
PB  - Atlantis Press
SP  - 854
EP  - 860
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-19.2019.137
DO  - https://doi.org/10.2991/icmeit-19.2019.137
ID  - Zhang2019/04
ER  -