| Artificial Neural Network Model for Optical Fiber Direction Coupler Design |
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| 作者姓名： | 李九生 鲍振武 |
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| 作者单位： | SchoolofElectronicInformationEngineering,TianjinUniversity,Tianjin300072,China |
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| 基金项目： | SupportedbyExcellentPh.DPaperFoundationofTianjinUniversity |
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| 摘 要： | 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.
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| 关 键 词： | 人工神经网络 光纤通信 方向耦合设计 ANN 耦合系数 |
Artificial Neural Network Model for Optical Fiber Direction Coupler Design |
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| LI Jiu sheng,BAO Zhen wu.Artificial Neural Network Model for Optical Fiber Direction Coupler Design[J].Transactions of Tianjin University,2004,10(1):39-42. |
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| Authors: | LI Jiu sheng BAO Zhen wu |
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| 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. |
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| Keywords: | coupler neural network coupling ratio modeling |
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