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

被引：0

作者：

Qiang, Hequn ^{[1
,2
]}

Qian, Chunhua ^{[1
,3
]}

Ren, Yi ^{[1
]}

机构：

[1] Suzhou Polytech Inst Agr, Dept Comp Sci, Suzhou, Peoples R China

[2] Soochow Univ, Comp Sci & Technol, Suzhou, Peoples R China

[3] Nanjing Forestry Univ, Dept Forestry Sci, Nanjing, Jiangsu, Peoples R China

来源：

PROCEEDINGS OF THE 2018 8TH INTERNATIONAL CONFERENCE ON MANAGEMENT, EDUCATION AND INFORMATION (MEICI 2018) | 2018年 / 163卷

关键词：

BP Algorithm; Neural Network; Image Classification;

D O I：

暂无

中图分类号：

G40 [教育学];

学科分类号：

040101 ; 120403 ;

摘要：

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%.

引用

页码：998 / 1001

页数：4

共 6 条

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