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浏览/检索结果: 共19条，第1-10条 帮助 限定条件 发表日期：2019    专题：湖南大学    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 Multi-view deep unsupervised transfer leaning via joint auto-encoder coupled with dictionary learning 期刊论文 Intelligent Data Analysis, 2019, 卷号: Vol.23 No.3, 页码: 555-571 作者:  Diasse, Abdoullahi;  Li, Zhiyong 收藏  |  浏览/下载：18/0  |  提交时间：2019/12/13 Transfer learning  multi-view  deep auto-encoder  dictionary learning   Multi-view deep unsupervised transfer leaning via joint auto-encoder coupled with dictionary learning. 期刊论文 Intelligent Data Analysis, 2019, 卷号: Vol.23 No.3, 页码: 555-571 作者:  Diasse, Abdoullahi;  Li, Zhiyong 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/13 deep auto-encoder  dictionary learning  multi-view  Transfer learning   A sparse stacked denoising autoencoder with optimized transfer learning applied to the fault diagnosis of rolling bearings 期刊论文 Measurement, 2019 作者:  Meidi Sun;  Hui Wang;  Ping Liu;  Shoudao Huang;  Peng Fan 收藏  |  浏览/下载：13/0  |  提交时间：2019/12/13 Fault diagnosis  Sparse stacked denoising autoencoder (SSDAE)  Transfer learning (TL)  Deep learning  Bearings   A learning framework based on weighted knowledge transfer for holiday load forecasting 期刊论文 Journal of Modern Power Systems and Clean Energy, 2019, 卷号: Vol.7 No.2, 页码: 329-339 作者:  Pan ZENG;  Chang SHENG;  Min JIN 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/13 Load forecasting  Holiday effect  Sparse data  Weighted transfer learning   Improving the Performance of Sentiment Classification on Imbalanced Datasets With Transfer Learning 期刊论文 IEEE Access, 2019, 卷号: Vol.7, 页码: 28281-28290 作者:  Xiao, Z;  Wang, L;  Du, JY 收藏  |  浏览/下载：1/0  |  提交时间：2019/12/13 Data models  Training  Training data  Task analysis  Neural networks  Natural language processing  Analytical models  Convolutional neural network  sentiment classification  transfer learning  under-sampling   In-line inspection solution for codes on complex backgrounds for the plastic container industry 期刊论文 Measurement, 2019, 卷号: Vol.148, 页码: 106965 作者:  Qiaokang Liang;  Wei Zhu;  Wei Sun;  Zhun Yu;  Yaonan Wang 收藏  |  浏览/下载：10/0  |  提交时间：2019/12/13 Code inspection  Deep learning  ShuffleNet  Transfer learning   A novel transfer learning method for robust fault diagnosis of rotating machines under variable working conditions 期刊论文 Measurement, 2019, 卷号: Vol.138, 页码: 514-525 作者:  Weiwei Qian;  Shunming Li;  Pengxing Yi;  Kaicheng Zhang 收藏  |  浏览/下载：10/0  |  提交时间：2019/12/13 Robust fault diagnosis  Vibration signal  Transfer learning  Working condition variation  Joint distribution adaptation   A Novel Transfer Learning Method for Robust Fault Diagnosis of Rotating Machines under Variable Working Conditions 期刊论文 Measurement, 2019 作者:  Weiwei Qian;  Shunming Li;  Pengxing Yi;  Kaicheng Zhang 收藏  |  浏览/下载：11/0  |  提交时间：2019/12/13 robust fault diagnosis  vibration signal  transfer learning  working condition variation  joint distribution adaptation   A sparse stacked denoising autoencoder with optimized transfer learning applied to the fault diagnosis of rolling bearings 期刊论文 Measurement, 2019, 卷号: Vol.146, 页码: 305-314 作者:  Meidi Sun;  Hui Wang;  Ping Liu;  Shoudao Huang;  Peng Fan 收藏  |  浏览/下载：12/0  |  提交时间：2019/12/13 Fault diagnosis  Sparse stacked denoising autoencoder (SSDAE)  Transfer learning (TL)  Deep learning  Bearings   Improving the performance of sentiment classification on imbalanced datasets with transfer learning 期刊论文 IEEE Access, 2019, 卷号: Vol.7, 页码: 28281-28290 作者:  Xiao, Z.;  Wang, L.;  Du, J.Y. 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/13