Title :
A modified Hopfield neural network to allow a speed A/D conversion
Author :
Cataldo, G. Di ; Palumbo, G.
Author_Institution :
Istituto di Elettrotecnica ed Elettronica, Catania Univ., Italy
Abstract :
The theoretical performance of a speed A/D conversion attained from a modified Hopfield neural network is discussed. The particular network permits a theoretical A/D conversion based on the specific design of the neuron´s settling time. Starting from the equivalent Smith and Portmann circuit, where the authors have modified the trigger´s hysteresis and thresholds, they propose a new theoretical circuit, based on a theorem, which is also demonstrated
Keywords :
analogue-digital conversion; neural nets; Hopfield neural network; equivalent circuit; hysteresis; settling time; speed A/D conversion; thresholds; Artificial neural networks; Computer networks; Feedback circuits; Feedback loop; Hopfield neural networks; Hysteresis; Neural networks; Neurofeedback; Neurons; Trigger circuits;
Conference_Titel :
CompEuro '91. Advanced Computer Technology, Reliable Systems and Applications. 5th Annual European Computer Conference. Proceedings.
Conference_Location :
Bologna
Print_ISBN :
0-8186-2141-9
DOI :
10.1109/CMPEUR.1991.257498