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浏览/检索结果: 共10条，第1-10条 帮助 限定条件 发表日期：2020    专题：自动化研究所    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 Learn with diversity and from harder samples: Improving the generalization of CNN-Based detection of computer-generated images 期刊论文 FORENSIC SCIENCE INTERNATIONAL-DIGITAL INVESTIGATION, 2020, 卷号: 35, 页码: 12 作者:  Quan, Weize;  Wang, Kai;  Yan, Dong-Ming;  Zhang, Xiaopeng;  Pellerin, Denis 收藏  |  浏览/下载：8/0  |  提交时间：2021/03/08 Image forensics  Computer-generated image  Convolutional neural network  Generalization  Negative samples   Deep Convolutional Neural Network-Aided Detection of Portal Hypertension in Patients With Cirrhosis 期刊论文 CLINICAL GASTROENTEROLOGY AND HEPATOLOGY, 2020, 卷号: 18, 期号: 13, 页码: 2998-+ 作者:  Liu, Yanna;  Ning, Zhenyuan;  Ormeci, Necati;  An, Weimin;  Yu, Qian 收藏  |  浏览/下载：58/0  |  提交时间：2021/01/06 HVPG  Diagnostic  Deep Learning  AI   A Transfer Learning Framework for RSVP-based Brain Computer Interface 会议论文 Montreal, QC, Canada, 20-24 July 2020 作者:  Wei Wei;  Qiu Shuang;  Ma Xuelin;  Li Dan;  Zhang Chuncheng 收藏  |  浏览/下载：17/0  |  提交时间：2021/05/27 A Fuzzy Deep Model Based on Fuzzy Restricted Boltzmann Machines for High-Dimensional Data Classification 期刊论文 IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2020, 卷号: 28, 期号: 7, 页码: 1344-1355 作者:  Feng, Shuang;  Chen, C. L. Philip;  Zhang, Chun-Yang 收藏  |  浏览/下载：26/0  |  提交时间：2020/08/03 Data models  Training  Training data  Fuzzy neural networks  Databases  Neural networks  Classification  fuzzy deep model  fuzzy restricted Boltzmann machine (FRBM)  hybrid learning   Acting As A Decision Maker: Traffic-Condition-Aware Ensemble Learning for Traffic Flow Prediction 期刊论文 IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 期号: Accepted, 页码: Accepted 作者:  Yuanyuan Chen;  Hongyu Chen;  Peijun Ye;  Yisheng Lv;  Fei-Yue Wang 收藏  |  浏览/下载：5/0  |  提交时间：2020/10/16 Traffic Flow Prediction  Ensemble Learning  Deep Learning   BAS-ADAM: An ADAM Based Approach to Improve the Performance of Beetle Antennae Search Optimizer 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 2, 页码: 461-471 作者:  Ameer Hamza Khan;  Xinwei Cao;  Shuai Li;  Vasilios N. Katsikis;  Liefa Liao 收藏  |  浏览/下载：13/0  |  提交时间：2021/03/11 Adaptive moment estimation (ADAM)  Beetle antennae search (BAM)  gradient estimation  metaheuristic optimization  nature-inspired algorithms  neural network   Optimal Neuro-Control Strategy for Nonlinear Systems With Asymmetric Input Constraints 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 2, 页码: 575-583 作者:  Xiong Yang;  Bo Zhao 收藏  |  浏览/下载：9/0  |  提交时间：2021/03/11 Adaptive critic designs (ACDs)  asymmetric input constraint  critic neural network (CNN)  nonlinear systems  optimal control  reinforcement learning (RL)   PID Neural Network Decoupling Control Based on Hybrid Particle Swarm Optimization and Differential Evolution 期刊论文 International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 6, 页码: 867-873 作者:  Hong-Tao Ye;  Zhen-Qiang Li 收藏  |  浏览/下载：16/0  |  提交时间：2021/02/22 Particle swarm optimization  differential evolution  proportion integration differentiation (PID) neural network  hybrid approach  decoupling control.   Neural-Network-Based Nonlinear Model Predictive Tracking Control of a Pneumatic Muscle Actuator-Driven Exoskeleton 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 6, 页码: 1478-1488 作者:  Yu Cao;  Jian Huang 收藏  |  浏览/下载：10/0  |  提交时间：2021/03/11 Echo state Gaussian process  model predictive control  neural network  pneumatic muscle actuators-driven exoskeleton   Accurate Classification of EEG Signals Using Neural Networks Trained by Hybrid Population-physic-based Algorithm 期刊论文 International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 1, 页码: 108-122 作者:  Sajjad Afrakhteh;  Mohammad-Reza Mosavi;  Mohammad Khishe;  Ahmad Ayatollahi 收藏  |  浏览/下载：8/0  |  提交时间：2021/02/22 Brain-computer interface (BCI)  classification  electroencephalography (EEG)  gravitational search algorithm (GSA)  multi-layer perceptron neural network (MLP-NN)  particle swarm optimization.