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Proceedings Paper

Neural network model of optical fiber direction coupler design
Author(s): Jiusheng Li; Zhenwu Bao
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Paper 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.

Paper Details

Date Published: 22 January 2004
PDF: 8 pages
Proc. SPIE 5178, Optical Modeling and Performance Predictions, (22 January 2004); doi: 10.1117/12.504681
Show Author Affiliations
Jiusheng Li, Tianjin Univ. (China)
Zhenwu Bao, Tianjin Univ. (China)

Published in SPIE Proceedings Vol. 5178:
Optical Modeling and Performance Predictions
Mark A. Kahan, Editor(s)

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