Analysis and Synthesis of Multilayered Electromagnetic Antireflector Using Neural Network
碩士 === 大葉大學 === 電信工程學系碩士班 === 93 === In this paper, the plane-wave incidence at a multilayered dielectric slab has been studied by using the artificial neural network, which determines the material properties, such as thickness and permeability, to minimize the reflection coefficients over a prescri...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2005
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| Online Access: | http://ndltd.ncl.edu.tw/handle/wuv5xx |
| Summary: | 碩士 === 大葉大學 === 電信工程學系碩士班 === 93 === In this paper, the plane-wave incidence at a multilayered dielectric slab has been studied by using the artificial neural network, which determines the material properties, such as thickness and permeability, to minimize the reflection coefficients over a prescribed range of frequencies. The network adopts a multilayered perceptron structure, the learning algorithm is the backpropagation. Four learning methods of backpropagation algorithm can be used to analyze and synthesize. We can find the best one for the considered problem.
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