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Artificial Neural Network Model for Optical Fiber Direction Coupler Design

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【作者】 李九生鲍振武

【Author】 LI Jiu sheng, BAO Zhen wu (School of Electronic Information Engineering, Tianjin University, Tianjin 300072, China)

【机构】 School of Electronic Information EngineeringTianjin UniversityTianjin University Tianjin 300072ChinaTianjin 300072China

【Abstract】 A new approach to the design of the optical fiber direction coupler by using neural network is proposed. To train the artificial neural network,the coupling length is defined as the input sample, and the coupling ratio is defined as the output sample. Compared with the numerical value calculation of the theoretical formula, the error of the neural network model output is 1% less.Then, through the model, to design a broadband or a single wavelength optical fiber direction coupler becomes easy. The method is proved to be reliable, accurate and time saving. So it is promising in the field of both investigation and application.

【关键词】 couplerneural networkcoupling ratiomodeling
【Key words】 couplerneural networkcoupling ratiomodeling
【基金】 SupportedbyExcellentPh.DPaperFoundationofTianjinUniversity
  • 【文献出处】 Transactions of Tianjin University ,天津大学学报(英文版) , 编辑部邮箱 ,2004年01期
  • 【分类号】O436
  • 【下载频次】19
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