DocumentCode :
2782775
Title :
Vector field analysis of single layer feedback neural networks
Author :
Zurada, Jacek M. ; Kang, Min J I ; Aronhime, Peter B.
Author_Institution :
Dept. of Electr. Eng., Louisville Univ., KY, USA
fYear :
1990
fDate :
12-14 Aug 1990
Firstpage :
21
Abstract :
The vector field method of analysis of single-layer neural networks with feedback is presented. The method allows the generation of trajectories in En space. The trajectories provide complete dynamical solutions for all possible initial conditions, finite gain values of neurons, and parasitic conductances and capacitances which occur in actual electronic neural systems
Keywords :
feedback; neural nets; dynamical solutions; electronic neural systems; finite gain values; initial conditions; parasitic conductances; single layer feedback neural networks; trajectories; vector field method; Convergence; Displays; Equations; HEMTs; MODFETs; Neural networks; Neurofeedback; Neurons; Parasitic capacitance; Stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1990., Proceedings of the 33rd Midwest Symposium on
Conference_Location :
Calgary, Alta.
Print_ISBN :
0-7803-0081-5
Type :
conf
DOI :
10.1109/MWSCAS.1990.140642
Filename :
140642
Link To Document :
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