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浏览/检索结果: 共5条，第1-5条 帮助 限定条件 内容类型：会议论文    专题：山东大学    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Forecasting of Forex Time Series Data Based on Deep Learning 会议论文 7th International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI), OCT 19-21, 2018 作者:  Ni, Lina;  Li, Yujie;  Wang, Xiao;  Zhang, Jinquan;  Yu, Jiguo 收藏  |  浏览/下载：9/0  |  提交时间：2019/12/31 Deep learning  Recurrent neural network  Convolutional neural network  Foreign Exchange Rate  Time series analysis   A Deep Fully Convolution Neural Network for Semantic Segmentation Based on Adaptive Feature Fusion 会议论文 5th International Conference on Information Science and Control Engineering (ICISCE), JUL 20-22, 2018 作者:  Liu, Anbang;  Yang, Yiqin;  Sun, Qingyu;  Xu, Qingyang 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/31 semantic segmentation  fully convolutional neural network  deep neural  network  feature fusion  adaptive   Deep Convolutional Neural Network Based Unmanned Surface Vehicle Maneuvering 会议论文 Chinese Automation Congress (CAC), OCT 20-22, 2017 作者:  Xu, Qingvang;  Zhang, Chengjin;  Zhang, Li 收藏  |  浏览/下载：7/0  |  提交时间：2019/12/31 deep learning  convolutional neural network  pattern recognition  unmanned surface vehicel  collision avoidance   Understanding and Boosting of Deep Convolutional Neural Network Based on Sample Distribution 会议论文 IEEE 2nd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC), DEC 15-17, 2017 作者:  Zheng, Qinghe;  Yang, Mingqiang;  Zhang, Qingrui;  Zhang, Xinxin;  Yang, Jiajie 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/31 deep convolutional neural network  sample distribution  feature  boundary  penalty term   Understanding and Boosting of Deep Convolutional Neural Network Based on Sample Distribution 会议论文 作者:  Qinghe Zheng;  Mingqiang Yang;  Qingrui Zhang;  Xinxin Zhang;  Jiajie Yang 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/31 deep convolutional neural network  sample distribution  feature boundary  penalty term