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	Vehicle Text Data Compression and Transmission Method Based on Maximum Entropy Neural Network and Optimized Huffman Encoding Algorithms
	Yang, J.; Zhang, Z.; Zhang, N.; Li, M.; Zheng, Y.; Wang, L.; Li, Y.; Xiang, Y.; Zhang, Y.
刊名	Complexity
	2019
卷号	Vol.2019
ISSN号	1076-2787;1099-0526
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2903264
专题	天津大学
作者单位	1.a Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangzhou Institute of Geography, Guangzhou, 510070, China 2.b Guangzhou Customs District, Guangzhou, 510623, China 3.c Huangpu Customs District, Guangzhou, 510730, China 4.d South China Agricultural University, Guangzhou, 510642, China 5.e Guangzhou Xingwei Mdt InfoTech Ltd., Guangzhou, 510630, China 6.f School of Computer Software in Tianjin University, Tianjin, 300072, China 7.g North China Electric Power University, Baoding, 071003, China 8.h Jiaying University, Meizhou, 514000, China
推荐引用方式 GB/T 7714	Yang, J.,Zhang, Z.,Zhang, N.,et al. Vehicle Text Data Compression and Transmission Method Based on Maximum Entropy Neural Network and Optimized Huffman Encoding Algorithms[J]. Complexity,2019,Vol.2019.
APA	Yang, J..,Zhang, Z..,Zhang, N..,Li, M..,Zheng, Y..,...&Zhang, Y..(2019).Vehicle Text Data Compression and Transmission Method Based on Maximum Entropy Neural Network and Optimized Huffman Encoding Algorithms.Complexity,Vol.2019.
MLA	Yang, J.,et al."Vehicle Text Data Compression and Transmission Method Based on Maximum Entropy Neural Network and Optimized Huffman Encoding Algorithms".Complexity Vol.2019(2019).

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