TRAINABILITY ANALYSIS OF A HOPFIELD NEURAL-NETWORK-BASED ON INTERACTING BASINS OF ATTRACTION

Date

1994-04-14

Author

YUKSEL, O
BAS, K

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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

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Department of Electrical and Electronics Engineering, Conference / Seminar

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Citation Formats

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.