Paper
23 February 2005 Optoelectronic neuron implementation
Mikolaj K. Olszewski, Andrzej W. Domanski
Author Affiliations +
Abstract
Optoelectronic implementation of neuron and neural networks plays an important role in signal processing, in particular to analyze output signals coming from optical fiber sensor systems. In our laboratory, by using liquid crystal cells and optical fiber connections, we built up a simple optoelectronic neuron that allowed processing of four output signals coming from different optical fiber sensors. However, more complicated optical fiber sensor system would require more advanced optoelectronic neurons for output signal processing. In this paper we present an optoelectronic implementation of two additional types of neuron. In summary an application of different kind of optoelectronic neurons for multilayer neural networks is discussed.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mikolaj K. Olszewski and Andrzej W. Domanski "Optoelectronic neuron implementation", Proc. SPIE 5775, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments III, (23 February 2005); https://doi.org/10.1117/12.610762
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KEYWORDS
Neurons

Optoelectronics

Liquid crystals

Signal processing

Fiber optics sensors

Optical fibers

Mathematical modeling

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