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TRAINABILITY ANALYSIS OF A HOPFIELD NEURAL-NETWORK-BASED ON INTERACTING BASINS OF ATTRACTION
Date
1994-04-14
Author
YUKSEL, O
BAS, K
Metadata
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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A Hopfield neural network is analysed in order to determine the types of its equilibrium points. Equilibrium points are considered as the intersection of two curves and -ope of these curves are utilised as criteria on the type of the singularities
Subject Keywords
Hopfield Neural Networks
,
Artificial Neural Networks
,
Jacobian Matrices
,
Eigenvalues And Eigenfunctions
,
Neural Networks
,
State-Space Methods
,
Shape
,
Circuits
,
Nonlinear Equations
,
Electronic Mail
URI
https://hdl.handle.net/11511/65495
Collections
Department of Electrical and Electronics Engineering, Conference / Seminar
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O. YUKSEL and K. BAS, “TRAINABILITY ANALYSIS OF A HOPFIELD NEURAL-NETWORK-BASED ON INTERACTING BASINS OF ATTRACTION,” 1994, p. 265, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/65495.