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Proceedings Paper

General artificial neuron
Author(s): Vasile Degeratu; Paul Schiopu; Stefania Degeratu
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Paper Abstract

In this paper the authors present a model of artificial neuron named the general artificial neuron. Depending on application this neuron can change self number of inputs, the type of inputs (from excitatory in inhibitory or vice versa), the synaptic weights, the threshold, the type of intensifying functions. It is achieved into optoelectronic technology. Also, into optoelectronic technology a model of general McCulloch-Pitts neuron is showed. The advantages of these neurons are very high because we have to solve different applications with the same neural network, achieved from these neurons, named general neural network.

Paper Details

Date Published: 31 May 2007
PDF: 6 pages
Proc. SPIE 6635, Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies III, 66351E (31 May 2007); doi: 10.1117/12.742261
Show Author Affiliations
Vasile Degeratu, 02Micro Romania (Romania)
Univ. Politehnica of Bucharest (Romania)
Paul Schiopu, Univ. Politehnica of Bucharest (Romania)
Optoelectronic Research Ctr., Univ. Politehnica of Bucharest (Romania)
Stefania Degeratu, 02Micro Romania (Romania)
Univ. Politehnica of Bucharest (Romania)


Published in SPIE Proceedings Vol. 6635:
Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies III

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