A Fruit Quality Classification Algorithm Based on BP Neural Network and Computer Vision

DOI

10.2991/meici-18.2018.200How to use a DOI?

Keywords

BP Algorithm; Neural Network; Image Classification

Abstract

BP algorithm is a classical neural network algorithm. We analyzed the deficiency of traditional BP neural network algorithm, designed new S function and momentum method strategy, optimized the algorithm parameters. We use the new algorithm in the classification of orange images, take color and shape features as input value, the experimental results proved that our algorithm is faster and the classification accuracy rate reaches to 90%.

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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TY  - CONF
AU  - Hequn Qiang
AU  - Chunhua Qian
AU  - Yi Ren
PY  - 2018/12
DA  - 2018/12
TI  - A Fruit Quality Classification Algorithm Based on BP Neural Network and Computer Vision
BT  - Proceedings of the 2018 8th International Conference on Management, Education and Information (MEICI 2018)
PB  - Atlantis Press
SP  - 998
EP  - 1001
SN  - 1951-6851
UR  - https://doi.org/10.2991/meici-18.2018.200
DO  - 10.2991/meici-18.2018.200
ID  - Qiang2018/12
ER  -