Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Junpei Zhong"'
Publikováno v:
Complexity, Vol 2019 (2019)
Externí odkaz:
https://doaj.org/article/c56b8e72ec684762a73e14bd798d000a
Publikováno v:
Complexity, Vol 2018 (2018)
Externí odkaz:
https://doaj.org/article/24f82507687f4daaafb6589e0c6955f4
Publikováno v:
Complexity, Vol 2018 (2018)
Studies suggest that, within the hierarchical architecture, the topological higher level possibly represents the scenarios of the current sensory events with slower changing activities. They attempt to predict the neural activities on the lower level
Externí odkaz:
https://doaj.org/article/666de92d7f164cefb107373b74564dfd
Publikováno v:
Complexity, Vol 2017 (2017)
As an imitation of the biological nervous systems, neural networks (NNs), which have been characterized as powerful learning tools, are employed in a wide range of applications, such as control of complex nonlinear systems, optimization, system ident
Externí odkaz:
https://doaj.org/article/b8024d66d28c4888b7f29e784b443db1
Publikováno v:
Complexity, Vol 2017 (2017)
Skill learning autonomously through interactions with the environment is a crucial ability for intelligent robot. A perception-action integration or sensorimotor cycle, as an important issue in imitation learning, is a natural mechanism without the c
Externí odkaz:
https://doaj.org/article/96519cb5cb5443e2842c4dd6ea90fdce
Publikováno v:
Complexity, Vol 2018 (2018)
Studies suggest that, within the hierarchical architecture, the topological higher level possibly represents the scenarios of the current sensory events with slower changing activities. They attempt to predict the neural activities on the lower level
Publikováno v:
Complexity, Vol 2018 (2018)
Publikováno v:
Complexity, Vol 2017 (2017)
Skill learning autonomously through interactions with the environment is a crucial ability for intelligent robot. A perception-action integration or sensorimotor cycle, as an important issue in imitation learning, is a natural mechanism without the c