Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 10
3137-3141

Image target classification algorithm based on adaptive false nearest neighbors method for convolution nerve network optimization

Huang Zhen1a
Li Zhihao2
Yuan Yi1b
Ruan Wenhui1a
1. a. School of Digital Media, b. School of Media Engineering, Lanzhou University of Arts & Sciences, Lanzhou 730000, China
2. School of Information Science & Engineering, Lanzhou University, Lanzhou 730000, China
DOI: 10.19734/j.issn.1001-3695.2018.05.0339

Abstract

In order to obtain good results when dealing with different data types or tasks, this paper designed a convolutional neural network(CNN) architecture based on adaptive false nearest neighbors method. It applied the center moment to CNN pooling operation and used sparse filtering algorithm to realize the unsupervised training process. It also set the size of the convolution mask(convolution kernel) of the CNN and the unit of convolution(CNN neural). In addition, the architecture also used adaptive false nearest neighbors method to simplify tasks such as modeling and prediction. Experimental results confirm that the improved CNN architecture is less complex and can be trained faster and it is less prone to overfitting.

Foundation Support

甘肃省自然科学基金资助项目(17JR5RA007)
甘肃省教育厅资助项目(2016A-104)
兰州文理学院种子基金(自然)资助项目(17XJZZ005)
国家自然科学基金资助项目(61403329)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.05.0339
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 10
Section: Technology of Graphic & Image
Pages: 3137-3141
Serial Number: 1001-3695(2019)10-057-3137-05

Publish History

[2019-10-05] Printed Article

Cite This Article

黄珍, 李志浩, 苑毅, 等. 利用自适应假近邻方法优化卷积神经网络的图像目标分类算法 [J]. 计算机应用研究, 2019, 36 (10): 3137-3141. (Huang Zhen, Li Zhihao, Yuan Yi, et al. Image target classification algorithm based on adaptive false nearest neighbors method for convolution nerve network optimization [J]. Application Research of Computers, 2019, 36 (10): 3137-3141. )

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  • Application Research of Computers Monthly Journal
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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