On applicability of neyral network technique to determination of single-scattering particle albedo from clear sky diffusion brightness.
An applicability of neyral network techniques to the problem of retrieval of the aerosol particle single-scattering albedo from calculations of the clear sky brightness in a spectral range 0.675 μm is under analysis. A homogeneous neyral network consisting of three latent layers, each by 10 neurons, has been considered. A complex of optical parameters covering their actual variations under different atmospheric conditions was used in learning the network. The network was tested in accordance with many samples under learning. A histogram of deviations of the found albedo values from model ones is presented. It follows from the histogram that deviations in 3% are observed in 96.8% of cases.