Twelve-layer deep convolutional neural network with stochastic pooling for tea category classification on GPU platform-Reference-Cited by-同舟云学术

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Twelve-layer deep convolutional neural network with stochastic pooling for tea category classification on GPU platform

Published:2018-02-27 Issue:17 Volume:77 Page:22821-22839
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Zhang Yu-Dong^ORCID,Muhammad Khan,Tang Chaosheng

Funder

Open fund of Key Laboratory of Guangxi High Schools Complex System and Computational Intelligence

Program of Natural Science Research of Jiangsu Higher Education Institutions

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

http://link.springer.com/article/10.1007/s11042-018-5765-3/fulltext.html

Reference35 articles.

1. Altun M, Pekcan O (2017) A modified approach to cross entropy method: Elitist stepped distribution algorithm. Appl Soft Comput 58:756–769

2. Barushka A, Hajek P (2016) Spam Filtering Using Regularized Neural Networks with Rectified Linear Units. In: 15th International Conference of the Italian Association for Artificial Intelligence (AIIA). Springer Int Publishing Ag, Genova, p 65–75

3. Chen Q (2008) Identification of tea varieties using computer vision. Trans ASABE 51(2):623–628

4. Chen Y (2017) A Feature-Free 30-Disease Pathological Brain Detection System by Linear Regression Classifier. CNS Neurol Disord Drug Targets 16(1):5–10

5. Chen QS et al (2013) Classification of tea category using a portable electronic nose based on an odor imaging sensor array. J Pharm Biomed Anal 84:77–89

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