Neural network model of optical fiber direction coupler design

Jiusheng Li; Zhenwu Bao

doi:10.1117/12.504681

22 January 2004 Neural network model of optical fiber direction coupler design

Jiusheng Li, Zhenwu Bao

Proceedings Volume 5178, Optical Modeling and Performance Predictions; (2004) https://doi.org/10.1117/12.504681
Event: Optical Science and Technology, SPIE's 48th Annual Meeting, 2003, San Diego, California, United States

Abstract

The coupling length and coupling ratio is defined as input and output respectively, which are used to train the neural network model. Radial base function neural network model is built for optical fiber direction coupler, which is in turn simulated and designed through the model. This method has the advantages of speediness, accuracy and reliability, which are identified by the design example. It can be used to design the other kind of optical passive device. This way is a novel design approach, which can save the cost of device design, decrease period of design and has a good prospect of application.

Citation Download Citation

Jiusheng Li and Zhenwu Bao "Neural network model of optical fiber direction coupler design", Proc. SPIE 5178, Optical Modeling and Performance Predictions, (22 January 2004); https://doi.org/10.1117/12.504681

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