Mở rộng cấu trúc và hàm Liapunov cho mạng nơ ron Hopfield

Nguyễn Quang Hoan
Author affiliations

Authors

  • Nguyễn Quang Hoan Publishing House for Science and Technology

DOI:

https://doi.org/10.15625/1813-9663/12/4/8092

Abstract

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.

Issue

Section

Computer Science