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