General artificial neuron

Vasile Degeratu; Paul Schiopu; Stefania Degeratu

doi:10.1117/12.742261

31 May 2007 General artificial neuron

Vasile Degeratu, Paul Schiopu, Stefania Degeratu

Proceedings Volume 6635, Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies III; 66351E (2007) https://doi.org/10.1117/12.742261
Event: Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies III, 2006, Bucharest, Romania

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.

Citation Download Citation

Vasile Degeratu, Paul Schiopu, and Stefania Degeratu "General artificial neuron", Proc. SPIE 6635, Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies III, 66351E (31 May 2007); https://doi.org/10.1117/12.742261

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