Please use this identifier to cite or link to this item: http://ir.nbu.ac.in/handle/123456789/5178
Title: Prediction of Cross Port Output in Electro-optic Mach-Zehnder interferometer Using Artificial Neural Network
Other Titles: J. Phys. Res. Edu., Vol. 2, March 2024, pp 65-70
Authors: Gayen, Dilip Kumar
Chattopadhyay, Tanay
Keywords: Cross Port Output in Electro-optic Mach-Zehnder interferometer
Using Artificial Neural Network
Issue Date: Mar-2024
Publisher: University of North Bengal
Abstract: Artificial neural networks are essential for the design and analysis of complex algorithms. We have designed a circuit with an electro-optic Mach-Zehnder interferometer (EOMZI) driven by a photodiode. The output from the EOMZI’s cross bar port is used. Then, we have developed a photonic artificial neuron based on this setup. The outputs are validated using MATLAB, and the Artificial neural networks successfully generate the sigmoid function corresponding to the EOMZI switch’s cross port.
URI: http://ir.nbu.ac.in/handle/123456789/5178
ISSN: XXXX-XXXX (Online)
XXXX-XXXX (Print);
Appears in Collections:Journal of Physics Research and Education, Vol. 2 March, 2024

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