A pyramidal delayed perceptron

A pyramidal delayed perceptron

It is pointed out that choosing the number of layers and the number of neurons per layer is critical in the actual application of the multilayer perceptron. A method for overcoming this inconvenience is proposed. The method requires modifying the structure of the perceptron by introducing suitable d...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on circuits and systems 1990-09, Vol.37 (9), p.1176-1181
Hauptverfasser: Martinelli, G., Ricotti, L.P., Ragazzini, S., Mascioli, F.M.
Format: Artikel
Sprache:eng
Schlagworte:
Applied sciences
Circuit stability
Delay
Electric, optical and optoelectronic circuits
Electronics
Exact sciences and technology
Multilayer perceptrons
Neural networks
Neurons
Polynomials
Robust stability
Stability criteria
Sufficient conditions
Uncertain systems
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:It is pointed out that choosing the number of layers and the number of neurons per layer is critical in the actual application of the multilayer perceptron. A method for overcoming this inconvenience is proposed. The method requires modifying the structure of the perceptron by introducing suitable delays between adjacent layers and by connecting all the neurons to be input. With this approach, it is possible to automatically yield both the configuration of the network and the values of the weights of the connections. The new type of perceptron has a pyramidal shape just like the digital perceptron introduced by J.J. Vidal (1988).< >
ISSN:0098-4094
1558-1276
DOI:10.1109/31.57609