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《Ordnance Industry Automation》 2007-03
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Handwritten Number Recognition Based on Support Vector Machine

SHANG Lei1,LIU Feng-jin2 (1. No. 17 Brigade of Graduate,Air Defense Forces Command Academy,Zhengzhou 450052,China;2. Command headquarter,Air Defense Artillery Brigade of Xinjiang Provincial Military Region,Urumchi 830017,China)  
Handwritten number recognition based on support vector machine adopts the US post service database. Moreover,it calculate the two-layer nerve network results based on several best two-layer nerve networks and design five-layer convolution nerve networks Lenetl. All results are inputted by using lattice input. The image point value is sent to the corresponding area without pretreatment. Compared with artificial classification,nerve network,and decision tree,its test error is low and the speed is high.
【CateGory Index】: TP391.43
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【References】
Chinese Journal Full-text Database 2 Hits
1 Xiao Jing1,2 Tan Yanghong1(1.College of electrical and information engineering,Hunan University,Changsha 410000;2.School of computer and electronic engineering,Hunan University of Commerce,Changsha 410205);Handwritten digital recognition method based on new feature extraction method and quantum neural network[J];Electronic Measurement Technology;2009-06
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【Co-references】
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1 LI Zheng-guang1,WU Li-ming1,LAI Nan-hui1,WANG Li-ping1,CHENG Wei-tao2(1.Guangdong University of Technology,Guangzhou 510006,China;2.Huizhou Foryou Electronic Co.,Ltd.,Huizhou 516007,China);Study of Skeleton Extraction on Machine Vision Recognition of Failures for IC Wafer[J];Semiconductor Technology;2007-04
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3 SONGJie~(1,2),TANGHuan-wen~(*1)( 1.Dept. of Appl. Math., Dalian Univ. of Technol., Dalian 116024, China;2.Dept. of Math., Shaoguan Univ., Shaoguan 512005, China );ν-Support vector machine classifier based on linear programming[J];Journal of Dalian University of Technology;2005-02
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9 ZHU Jia-yuan~1, YANG Yun~2, ZHANG Heng-xi~1, WANG Zhuo-jian~1 (1. Department of Aircraft and Engine Engineering, Air Force Engineering University, Xi′an710038, China)(2. Department of System Engineering, Beijing University of Aeronautics and Astronautics, Beijing100083, China);Data Prediction with Few Observations Based on Optimized Least Squares Support Vector Machines[J];Acta Aeronautica Et Astronautica Sinica;2004-06
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【Secondary References】
Chinese Journal Full-text Database 2 Hits
1 Qi Guangyun,Ma Xiaodan,Guan Hai'ou(Information Technology College,Heilongjiang August First Land Reclamation University,Daqing 163319,China);Extraction of the image of soybean target leaf spot based on improved genetic algorithm[J];Transactions of the Chinese Society of Agricultural Engineering;2009-05
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