Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Lianhao Zhang"'
Autor:
Deyu Wang, Jiawei Xu, Dimitrios Stathis, Lianhao Zhang, Feng Li, Anders Lansner, Ahmed Hemani, Yu Yang, Pawel Herman, Zhuo Zou
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2021)
The Bayesian Confidence Propagation Neural Network (BCPNN) has been implemented in a way that allows mapping to neural and synaptic processes in the human cortexandhas been used extensively in detailed spiking models of cortical associative memory fu
Externí odkaz:
https://doaj.org/article/6f5f57a231834f598fcd4a6f6a223df8
Publikováno v:
ARKIVOC, Vol 2001, Iss 11, Pp 41-48 (2002)
Externí odkaz:
https://doaj.org/article/ad81682ac31d47819912d186d13ec5cb
Publikováno v:
International Journal of Robotics and Automation. 38
Autor:
Deyu Wang, Jiawei Xu, Feng Li, Lianhao Zhang, Yuning Wang, Anders Lansner, Ahmed Hemani, Li-Rong Zheng, Zhuo Zou
Publikováno v:
2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS).
Publikováno v:
Fuel. 340:127413
Autor:
Vineet Kumar, Joel Morris, Mianji Zhang, Vladimir F Rudchenko, Lopez Omar Diego, Guangfei Huang, Denysenko Sergiy M, Lianhao Zhang, Beverly A. Teicher, Robert J. Bahde, Donn G Wishka
Publikováno v:
Nucleosides, Nucleotides & Nucleic Acids. 40:68-95
The lack of effective methods to perform direct β-selective glycosylation reactions with 2-deoxy-1,4-dithio-D-erythro-pentofuranosides has long been a significant stumbling block for the multi-gram synthesis of 4'-thio-2'-deoxy nucleosides. In addit
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
Measurement Science and Technology. 34:015901
In order to address the self-collision problem associated with the operation of modern industrial robots, this paper proposes a multi-degree-of-freedom collision detection algorithm that can detect self-collision in single arm and double arm robots a
Autor:
Deyu Wang, Yi Jin, Jiawei Xu, Feng Li, Yu Yang, Lianhao Zhang, Ahmed Hemani, Li-Rong Zheng, Zhuo Zou, Anders Lansner, Dimitrios Stathis
Publikováno v:
AICAS
This paper proposes a concise window function to build a memristor model, simulating the widely-observed nonlinear dopant drift phenomenon of the memristor. Exploiting the non-linearity, the memristor model is applied to the in-situ neuromorphic solu