【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更多还原

【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.更多还原