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A Multimodal Neural Network for Contact State Recognition during Probe Implantation into Skull Holes 会议论文
, 新西兰, 2023-8
作者:  Song YJ(宋雨佳);  Wang XF(王啸峰);  Zhang DP(张大朋)
Adobe PDF(1573Kb)  |  收藏  |  浏览/下载:31/13  |  提交时间:2024/06/26
基于类脑脉冲神经网络的强化学习算法研究 学位论文
, 2024
作者:  张笃振
Adobe PDF(23167Kb)  |  收藏  |  浏览/下载:70/2  |  提交时间:2024/06/07
类脑智能 脉冲神经网络 强化学习  
Temporal Knowledge Sharing enable Spiking Neural Network Learning from Past and Future 期刊论文
IEEE Transactions on Artificial Intelligence, 2024, 页码: 1-10
作者:  Dong, Yiting;  Zhao, Dongcheng;  Zeng, Yi
Adobe PDF(8822Kb)  |  收藏  |  浏览/下载:45/16  |  提交时间:2024/06/06
Design of a Novel Haptic Joystick for the Teleoperation of Continuum-Mechanism-Based Medical Robots 期刊论文
Robotics, 2023, 卷号: 12, 期号: 2, 页码: 52
作者:  Xie, Yiping(谢亿平);  Hou, Xilong(侯西龙);  Wang, Shuangyi(王双翌)
Adobe PDF(3916Kb)  |  收藏  |  浏览/下载:212/73  |  提交时间:2023/05/31
haptic device  gravity compensation  continuum robot  teleoperation  variable impedance control  
面向支气管镜机器人仿真的柔性体建模与模拟研究 学位论文
, 2023
作者:  王怡虎
Adobe PDF(5841Kb)  |  收藏  |  浏览/下载:175/3  |  提交时间:2023/05/30
虚拟支气管镜  生物医学模拟  实时有限元  预计算有限元  神经网络  
Adversarial Semi-supervised Learning for Corporate Credit Ratings 期刊论文
Journal of Software, 2021, 卷号: 16, 期号: 6, 页码: 259-266
作者:  冯博 靖
Adobe PDF(1425Kb)  |  收藏  |  浏览/下载:173/50  |  提交时间:2022/06/13
Adversarial learning  corporate credit ratings  financial risk  semi-supervised learning  
Non-certainty equivalence adaptive tracking control for hypersonic vehicles 会议论文
IFAC World Congress, Cape Town, South Africa, 2014
作者:  Liu, Zhen;  Tan, Xiangmin;  Yuan, Ruyi;  Fan, Guoliang;  Yi, Jianqiang
Adobe PDF(333Kb)  |  收藏  |  浏览/下载:277/107  |  提交时间:2015/08/19
Design of Interval Type-2 Fuzzy Logic Systems Using Prior Knowledge via Optimization Algorithms 会议论文
IEEE International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), Taipei, Taiwan, 2011
作者:  Wang, TC;  Yi, JQ;  Wang, TC
浏览  |  Adobe PDF(464Kb)  |  收藏  |  浏览/下载:225/77  |  提交时间:2015/08/19
Interval Type-2 Fuzzy Logic System  Optimization Algorithm  Prior Knowledge