[1] Min Fu, Wei Wang, Hao Wang. Application of multi classification sup-port vector machine in transit transfer recognition. Journal of Harbin Institute of Technology, 50, 26-32(2018).

[2] J Gu, Z Wang, J Kuen. Recent advances in convolutional neural networks. Pattern Recognition, 77, 354-377(2018).

[3] M H Modarres, R Aversa, S Cozzini. Neural network for nanoscience scanning electron microscope image recognition. Scientific Reports, 7, 1-12(2017).

[4] [4] Mohapatra R K, Majhi B, Jena S K, Classification perfmance analysis of MNIST dataest utilizing a multiresolution, technique[C]Computing, Communication Security (ICCC S), 2015 Internationl Conference on. IEEE2015: 15.

[5] Huaiyu Cai, Xiaoyu Wu, Liran Zhuo. Fast sift image mosaic method combined with edge detection. Infrared and Laser Engineering, 47, 1126003(2018).

[6] Jiping Wang, Xiaorong Zhi, Jihong Hang. Analysis of forest landscape pattern grade characteristics based on GIS and PCA dimension reduction. Transactions of the Chinese Society for Agricultural Machinery, 50, 195-201+179(2019).

[7] Feiyan Zhou, Linpeng Jin, Jun Dong. A review of convolutional neural networks. Chinese Journal of Computers, 40, 1229-1251(2017).

[8] Hongxia Wang, Jiaqi Zhou, Chenghao Gu. Design of activation function inconvolution neu-ral network for image classification. Journal of Zhejiang University (Engineering Science), 53, 1363-1373(2019).

[9] Yunxia Wu, Yimin Tian. Recognition method of coal and rock based on maximum pool sparse coding. Chinese Journal of Engineering, 39, 981-987(2017).

[10] Minjian Liang, Xiaoyu Cui, Qingsong Song. Traffic sign recognition met -hod based on hog Gabor feature fusion and softmax classifier. Journal of Traffic and Transportation Engineering, 17, 151-158(2017).

[11] Jun Wang, Tong Zheng, Peng Lei. Recognition method of gesture action radar based on convolutional neural network. Journal of Beijing University of Aeronautics and Astronautics, 44, 1117-1123(2018).

[12] Yili Zheng, Lu Zhang. Plant leaf image recognition method based on convolution neural network of transfer learning. Transactions of the Chinese Society for Agricultural Machinery, 49, 354-359(2018).

[13] Mansheng Long, Chunjuan Ouyang, Huan Liu. Image recognition of oil tea disease based on convolution neural network and migration learning. Transactions of the Chinese Society of Agricultural Engineering, 34, 194-201(2018).

[14] Qiong Liu, Zongxian Li, Fuchun Sun. Image recognition and classification based on deep belief convolution neural network. Tsinghua Science and Technology, 58, 781-787(2018).