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浏览/检索结果: 共5条，第1-5条 帮助 限定条件 发表日期：2019    内容类型：会议论文     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 RESEARCH ON RISK ASSESSMENT METHOD OF STICK-SLIP VIBRATION OF THE BIT BASED ON BP NEURAL NETWORK ALGORITHM 会议论文 PROCEEDINGS OF THE ASME PRESSURE VESSELS AND PIPING CONFERENCE, 2018, VOL 7, 2019-01-01 - 收藏  |  浏览/下载：4/0  |  提交时间：2020/01/03 stick-slip vibration  time and frequency domain  kernel principal component analysis  backpropagation neural network  drilling risk   Taylor Convolutional Networks for Image Classification 会议论文 2019 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV), 2019-01-01 作者:  Wang, Xiaodi;  Li, Ce;  Mou, Yipeng;  Zhang, Baochang;  Han, Jungong 收藏  |  浏览/下载：22/0  |  提交时间：2019/12/30 Backpropagation algorithms  Computer vision  Convolution  Network architecture  Convolutional networks  Deep architectures  End to end  High-frequency informations  Low-frequency  Nonlinear combination  Object classification  Taylor expansions  Image classification   Hardmining Training Via Self-Adversarial Network for Human Pose Estimation 会议论文 Proceedings 2018 Chinese Automation Congress, CAC 2018, 2018-11-30 作者:  Zhang, S.;  Zhu, A.;  Cao, Q.;  Tang, S.;  Cui, R. 收藏  |  浏览/下载：13/0  |  提交时间：2019/12/30 Backpropagation  Behavioral research  Forecasting  Adversarial networks  Behavior recognition  Broad application  Ground truth  Human pose estimations  Prediction accuracy  Training model  Training techniques  Human computer interaction   Design of Autonomous Vehicle Controller Based on BP-PID 会议论文 IOP Conference Series: Earth and Environmental Science, 2018-12-16 作者:  Han, X.;  Zhang, X.;  Du, Y.;  Cheng, G. 收藏  |  浏览/下载：17/0  |  提交时间：2019/12/30 Autonomous vehicles  Controllers  Learning algorithms  Longitudinal control  Three term control systems  Autonomous control  Autonomous mode  BP (back propagation) neural network  Control module  Lateral control  Parameters adjustment  Parameters setting  Proportion integration differentiations  Backpropagation   Short-term wind speed forecasting using STLSSVM hybrid model 会议论文 2018 International Conference on Power System Technology, POWERCON 2018 - Proceedings, 2018-11-06 作者:  Yuan, D.;  Qian, Z.;  Jing, B.;  Pei, Y. 收藏  |  浏览/下载：7/0  |  提交时间：2019/12/30 Backpropagation  Forecasting  Least squares approximations  Particle swarm optimization (PSO)  Speed  Support vector machines  Wind power  Auto-regressive integrated moving average  EEMD  Ensemble empirical mode decompositions (EEMD)  Hybrid methodologies  Least squares support vector machines  Short-term wind speed forecasting  State transitions  Wind speed forecasting  Wind