一种基于优化遗传算法的有效图像检索方法——基于SVM的卷积神经网络分类器

IF 3.9 2区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Human-Centric Computing and Information Sciences Pub Date : 2019-08-28 DOI:10.1186/s13673-019-0191-8
M. J. J. Ghrabat, Guangzhi Ma, I. Y. Maolood, S. Alresheedi, Z. Abduljabbar
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引用次数: 37
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An effective image retrieval based on optimized genetic algorithm utilized a novel SVM-based convolutional neural network classifier
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来源期刊
Human-Centric Computing and Information Sciences
Human-Centric Computing and Information Sciences Computer Science-General Computer Science
CiteScore
13.10
自引率
12.10%
发文量
0
审稿时长
13 weeks
期刊介绍: In Human-centric Computing and Information Sciences (HCIS), KIPS-CSWRG publishes high quality papers which cover the various theories and practical applications related to human-centric computing and information sciences. The published papers present results of significant value to solve the various problems with application services and other problems which are within the scope of HCIS. In addition, we expect they will trigger further related research and technological improvements relevant to our future lives.
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