摘要
利用改进的BP算法,结合Mie散射理论,建立了波长、散射系数、吸收系数与气溶胶粒子等效复折射率之间的非线性映射关系,实现了反演实际大气非均匀气溶胶粒子等效复折射率的BP神经网络模型的建模。利用该模型对气溶胶粒子等效复折射率进行了反演,根据反演得到的等效复折射率计算了其光学特征量,计算结果与实测结果基本吻合。
Based on the improved BP algorithm and Mie scattering theory,the nonlinear relation of wavelength scattering coefficient,absorption coefficient and equivalent complex refractive index is developed.The BP neural netwoik model of the equivalent refractive index of aerosol is also developed.The optical properties of aerosol obtained from inversion refractive index,such as scattering coefficient,absorption coefficient,are in good agreement with measurement results
出处
《大气与环境光学学报》
CAS
2009年第1期30-37,共8页
Journal of Atmospheric and Environmental Optics
基金
国家自然科学基金(60705015)
关键词
大气光学
BP神经网络
等效复折射率
散射系数
吸收系数
atmospheric optics
BP neural network
equivalent refractive index
scattering coefficient
absorption coefficient
