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Peijie Yin
Peijie Yin
Robotics and Mathematics, Chinese Academy of Science
Verifisert e-postadresse på amss.ac.cn
Tittel
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År
Brain-inspired intelligent robotics: Theoretical analysis and systematic application
H Qiao, YX Wu, SL Zhong, PJ Yin, JH Chen
Machine Intelligence Research 20 (1), 1-18, 2023
442023
Human-inspired motion model of upper-limb with fast response and learning ability–a promising direction for robot system and control
H Qiao, C Li, P Yin, W Wu, ZY Liu
Assembly Automation 36 (1), 97-107, 2016
412016
A novel biologically inspired visual cognition model: automatic extraction of semantics, formation of integrated concepts, and reselection features for ambiguity
P Yin, H Qiao, W Wu, L Qi, Y Li, S Zhong, B Zhang
IEEE Transactions on Cognitive and Developmental Systems 10 (2), 420-431, 2017
212017
A biologically inspired model mimicking the memory and two distinct pathways of face perception
X Xi, P Yin, H Qiao, Y Li, W Feng
Neurocomputing 205, 349-359, 2016
52016
Robotics and automation activities in China [Industrial Activities]
H Qiao, R Li, P Yin
IEEE Robotics & Automation Magazine 22 (3), 14-17, 2015
52015
Biologically inspired model simulating visual pathways and cerebellum function in human-Achieving visuomotor coordination and high precision movement with learning ability
W Wu, H Qiao, J Chen, P Yin, Y Li
arXiv preprint arXiv:1603.02351, 2016
42016
What is the meaning for the interdisciplinary research of robot and neuroscience?—Thoughts on the future development of intelligent robot
H Qiao, P Yin, R Li
Bulletin of Chinese Academy of Sciences, 762--771, 2015
42015
Improving learning efficiency of recurrent neural network through adjusting weights of all layers in a biologically-inspired framework
X Huang, W Wu, P Yin, H Qiao
2017 International Joint Conference on Neural Networks (IJCNN), 873-879, 2017
22017
Nflb dropout: Improve generalization ability by dropping out the best-a biologically inspired adaptive dropout method for unsupervised learning
P Yin, L Qi, X Xi, B Zhang, H Qiao
2016 International Joint Conference on Neural Networks (IJCNN), 1180-1186, 2016
12016
Transfer classification for distinct manifestations with shared information
L Qi, P Yin, X Huang, K Chen, H Qiao
2016 12th World Congress on Intelligent Control and Automation (WCICA), 1234 …, 2016
2016
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Artikler 1–10