Mở rộng cấu trúc và hàm Liapunov cho mạng nơ ron Hopfield
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DOI:
https://doi.org/10.15625/1813-9663/12/4/8092Abstract
The existence the Hopfield neural network and the Liapunov function guarantees the convergence to some local minimum of these network with linear inputs [1,6]. But standard Hopfield architecture [3, 14] is limited in its capacity of linear classifiers with higher performances. We also regarded some assumptions on these architectures and the their stability.
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Published
06-04-2016
How to Cite
[1]
N. Q. Hoan, “Mở rộng cấu trúc và hàm Liapunov cho mạng nơ ron Hopfield”, JCC, vol. 12, no. 4, p. 45–57, Apr. 2016.
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Computer Science
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