Prediction of Cross Port Output in Electro-optic Mach-Zehnder interferometer Using Artificial Neural Network

Please use this identifier to cite or link to this item: http://ir.nbu.ac.in/handle/123456789/5178

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DC Field	Value	Language
dc.contributor.author	Gayen, Dilip Kumar	-
dc.contributor.author	Chattopadhyay, Tanay	-
dc.date.accessioned	2024-03-31T10:29:03Z	-
dc.date.available	2024-03-31T10:29:03Z	-
dc.date.issued	2024-03	-
dc.identifier.issn	XXXX-XXXX (Online)	-
dc.identifier.issn	XXXX-XXXX (Print);	-
dc.identifier.uri	http://ir.nbu.ac.in/handle/123456789/5178	-
dc.description.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.	en_US
dc.language.iso	en	en_US
dc.publisher	University of North Bengal	en_US
dc.subject	Cross Port Output in Electro-optic Mach-Zehnder interferometer	en_US
dc.subject	Using Artificial Neural Network	en_US
dc.title	Prediction of Cross Port Output in Electro-optic Mach-Zehnder interferometer Using Artificial Neural Network	en_US
dc.title.alternative	J. Phys. Res. Edu., Vol. 2, March 2024, pp 65-70	en_US
dc.type	Article	en_US
Appears in Collections:	Journal of Physics Research and Education, Vol. 2 March, 2024

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