A class of neural networks with nonsymmetrical connections is considered. The analysis of the dynamical behavior shows that this type of neural network is characterized by a unique equilibrium point whose attraction domain is the entire space. Such properties do not depend on the shape of neuron nonlinearities. Application of this class of neural networks to the A/D conversion is considered and design procedures for an A/D converter are illustrated. Finally, computer simulations and experimental results obtained with a discrete component prototype of the converter are presented. © 1991 IEEE
Avitabile, G., Forti, M., Manetti, S., Marini, M. (1991). On a class of nonsymmetrical neural networks with application to ADC. IEEE TRANSACTIONS ON CIRCUIT AND SYSTEMS, 38(2), 202-209 [10.1109/31.68298].
On a class of nonsymmetrical neural networks with application to ADC
Forti M.;
1991-01-01
Abstract
A class of neural networks with nonsymmetrical connections is considered. The analysis of the dynamical behavior shows that this type of neural network is characterized by a unique equilibrium point whose attraction domain is the entire space. Such properties do not depend on the shape of neuron nonlinearities. Application of this class of neural networks to the A/D conversion is considered and design procedures for an A/D converter are illustrated. Finally, computer simulations and experimental results obtained with a discrete component prototype of the converter are presented. © 1991 IEEE
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https://hdl.handle.net/11365/9089
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