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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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File | Description | Size | Format | |
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Prediction of Cross Port Output in Electro-optic Mach-Zehnder interferometer Using Artificial Neural Network_06.pdf | Prediction of Cross Port Output in Electro-optic Mach-Zehnder interferometer Using Artificial Neural Network | 278.83 kB | Adobe PDF | View/Open |
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