DocumentCode
2503725
Title
Trainability analysis of a Hopfield neural network based on interacting basins of attraction
Author
Yüksel, Ömür ; Bas, Kivanç
Author_Institution
Dept. of Electr. & Electron. Eng., Middle East Tech. Univ., Ankara, Turkey
fYear
1994
fDate
12-14 Apr 1994
Firstpage
265
Abstract
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 the slope of these curves are utilised as criteria on the type of the singularities
Keywords
Hopfield neural nets; learning (artificial intelligence); Hopfield neural network; equilibrium points; interacting basins of attraction; singularities; trainability analysis; Artificial neural networks; Circuits; Eigenvalues and eigenfunctions; Electronic mail; Hopfield neural networks; Jacobian matrices; Neural networks; Nonlinear equations; Shape; State-space methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrotechnical Conference, 1994. Proceedings., 7th Mediterranean
Conference_Location
Antalya
Print_ISBN
0-7803-1772-6
Type
conf
DOI
10.1109/MELCON.1994.380919
Filename
380919
Link To Document