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For: Aoki S, Koyama S, Saito T. Theoretical analysis of dynamic binary neural networks with simple sparse connection. Neurocomputing 2019;341:149-155. [DOI: 10.1016/j.neucom.2019.03.015] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Number Cited by Other Article(s)
1
Dynamic binary neural networks with time-variant parameters and switching of desired periodic orbits. Neurocomputing 2021. [DOI: 10.1016/j.neucom.2021.06.054] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
2
Guaranteed storage and stabilization of desired binary periodic orbits in three-layer dynamic binary neural networks. Neurocomputing 2020. [DOI: 10.1016/j.neucom.2020.01.105] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
3
Qiao G, Hu S, Chen T, Rong L, Ning N, Yu Q, Liu Y. STBNN: Hardware-friendly spatio-temporal binary neural network with high pattern recognition accuracy. Neurocomputing 2020. [DOI: 10.1016/j.neucom.2020.06.084] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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