| 纳米Fe_3O_4微晶电磁波吸收性能的神经网络研究 |
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| 引用本文： | 陆鸿良,於乾英,白洁雁,邱锡钧. 纳米Fe_3O_4微晶电磁波吸收性能的神经网络研究[J]. 上海大学学报(自然科学版), 2000, 0(2) |
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| 作者姓名： | 陆鸿良 於乾英 白洁雁 邱锡钧 |
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| 作者单位： | 上海大学理学院!上海201800(陆鸿良,於乾英,邱锡钧),上海航天局803研究所光纤研究中心!上海200233(白洁雁) |
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| 摘 要： | 应用基于人工神经网络的计算机模拟的方法 ,研究了粒度在 10 nm和 10 0 nm之间的多种 Fe3O4纳米材料分别在 ( a) 1～ 10 0 0 MHz和 ( b) 10 0 0～ 10 0 0 0 MHz频率范围内的电磁波吸收效能 .结果表明 ,在频率范围 ( a)内 ,平均粒度小的 Fe3O4磁导率虚部 μ"(即磁损耗 )大于平均粒度大的 Fe3O4的 μ",且 Fe3O4对电磁波的吸收能力逐渐增强 ,这与实验结果吻合良好 ;根据频率范围 ( a)的所得结果 ,利用人工神经网络 ,预测了在频率范围 ( b)内可能出现的情况 .文中就其物理本质也作了简单的分析和探讨
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| 关 键 词： | 纳米材料 纳米Fe3O4 人工神经网络 |
Neural Network Applied to the Study of Electromagnetic Wave Absorbency of Nano-Fe_3O _4 |
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| LU Hong liang ,YU Qian ying ,BAI Jie yan ,QIU Xi jun. Neural Network Applied to the Study of Electromagnetic Wave Absorbency of Nano-Fe_3O _4[J]. Journal of Shanghai University(Natural Science), 2000, 0(2) |
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| Authors: | LU Hong liang YU Qian ying BAI Jie yan QIU Xi jun |
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| Affiliation: | LU Hong liang 1,YU Qian ying 1,BAI Jie yan 2,QIU Xi jun 1 |
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| Abstract: | With artificial neural network (ANN), the electromagnetic wave absorbency characteristic curves of nanometerized Fe 3O 4 were predicted in the frequency ranges of (a) 1~1000 MHz and (b)1000~10000 MHz, respectively. Good result was obtained in range of (a). It proved that in range (a) the electromagnetic wave absorbency of nano Fe 3O 4 increased with frequency increase and the electromagnetic wave absorbency and imaginary of permittivity of smaller particle size Fe 3O 4 was better than that of larger particle size Fe 3O 4. The variation of the imaginary of permittivity of Fe 3O 4 in range (b) was predicted with the use of ANN. |
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| Keywords: | nanomaterial nanometerized Fe 3O 4 artificial neural networks |
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