PDF下载 分享
[1]任 波,王录涛,邓 旭,等.一种改进深度学习网络结构的英文字符识别[J].成都信息工程大学学报,2017,(03):259-263.[doi:10.16836/j.cnki.jcuit.2017.03.005]
 REN Bo,WANG Lu-tao,DENG Xu,et al.An Improved Deep Learning Network Structure for English Character Recognition[J].Journal of Chengdu University of Information Technology,2017,(03):259-263.[doi:10.16836/j.cnki.jcuit.2017.03.005]
点击复制

一种改进深度学习网络结构的英文字符识别

参考文献/References:

[1] HintonG E,Salakhutdinov R R.Reducing the dimensionality of data with neural networks[J].Science,2006,313:504.
[2] Dan C,Meier U,Schmidhuber J.Multi-column deep neural networks for image classification[J].2012,157(10):3642-3649.
[3] 孙志军,薛磊,许阳明,等.深度学习研究综述[J].计算机应用研究,2012,29(8):2806-2810.
[4] Cheriyadat A M.Unsupervised feature learning for aerial scene classification[J].IEEE Transactions on Geoscience & Remote Sensing,2014,52(1):439-451.
[5] Zhu H.On information and sufficiency[J].Working Papers,1997,157(1):1-7.
[6] Friedman J,Jerome T,Hastie R.Regularization Paths for Generalized Linear Models Via Coordinate Descent[J].Journal of Statistical Software,2010,33(1):1.
[7] The10 Breakthrough Technologies 2013[N].MIT Technology Review,2013-04-23.
[8] Erhan D,Bengio Y,Couville A,et al.Why does unsupervised pre-training help deep learning[J].Journal of Machine Learning Research,2010,11(3):625-660.
[9] Bengio Y,Lecun Y.Scaling learning algorithms towards AI[C].Large-Scale Kernel Machines.2007:321-358.
[10] 杜敏,赵全友.基于动态权值集成的手写数字识别方法[J].计算机工程与应用,2010,46(27):182-184.

相似文献/References:

[1]张 斌,王 强.一种改进型卷积神经网络的图像分类方法[J].成都信息工程大学学报,2019,(01):39.[doi:10.16836/j.cnki.jcuit.2019.01.009]
 ZHANG Bin,WANG Qiang.An Improved Convolution Neural Network Image Classification Method[J].Journal of Chengdu University of Information Technology,2019,(03):39.[doi:10.16836/j.cnki.jcuit.2019.01.009]
[2]唐明轩,李孝杰,周激流.基于Dense Connected深度卷积神经网络的 自动视网膜血管分割方法[J].成都信息工程大学学报,2018,(05):525.[doi:10.16836/j.cnki.jcuit.2018.05.007 ]
 TANG Ming-xuan,LI Xiao-jie,ZHOU Ji-liu.Automatic Retinal Vascular Segmentation Method based on Densely Connected Convolution Neural Network[J].Journal of Chengdu University of Information Technology,2018,(03):525.[doi:10.16836/j.cnki.jcuit.2018.05.007 ]
[3]蔡姣姣,何 嘉.基于混合自动编码器的分类应用[J].成都信息工程大学学报,2016,(增刊1):1.
[4]冯金慧,陶宏才.基于注意力的深度协同在线学习资源推荐模型[J].成都信息工程大学学报,2020,35(02):151.[doi:10.16836/j.cnki.jcuit.2020.02.005]
 FENG Jinhui,TAO Hongcai.An Attention-based Deep Collaborative Filtering Model for Online Course Recommendation[J].Journal of Chengdu University of Information Technology,2020,35(03):151.[doi:10.16836/j.cnki.jcuit.2020.02.005]
[5]杨 铭,文 斌.一种改进的YOLOv3-Tiny目标检测算法[J].成都信息工程大学学报,2020,35(05):531.[doi:10.16836/j.cnki.jcuit.2020.05.009]
 YANG Ming,WEN Bin.An Improved YOLOv3-Tiny Target Detection Algorithm[J].Journal of Chengdu University of Information Technology,2020,35(03):531.[doi:10.16836/j.cnki.jcuit.2020.05.009]
[6]曹远杰,高瑜翔,杜鑫昌,等.口罩佩戴识别中的Tiny-YOLOv3模型算法优化[J].成都信息工程大学学报,2021,36(02):154.[doi:10.16836/j.cnki.jcuit.2021.02.005]
 CAOYuanjie,GAO Yuxiang,DU Xinchang,et al.Tiny-YOLOv3 Model Algorithm is Optimized for Mask Wearing Recognition[J].Journal of Chengdu University of Information Technology,2021,36(03):154.[doi:10.16836/j.cnki.jcuit.2021.02.005]

备注/Memo

收稿日期:2017-03-02

更新日期/Last Update: 2017-02-20