Aerosol extinction coefficient inversion method based on deep belief network
A technology of deep belief network and extinction coefficient, applied in neural learning methods, biological neural network models, reradiation of electromagnetic waves, etc., can solve problems such as large inversion errors
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[0061] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and embodiments.
[0062] An aerosol extinction coefficient inversion method based on a deep belief network according to the present invention, combined with the measurement results of the meter scattering lidar and the inversion results of the Raman scattering lidar, proposes an aerosol extinction method based on the deep belief network Coefficient inversion method. The structure principle of the inversion method is as follows: figure 1 shown.
[0063] An aerosol extinction coefficient inversion method based on a deep belief network according to the present invention comprises the following steps:
[0064] Step 1: Obtain the echo power signal of the meter scattering lidar and the aerosol extinction coefficient obtained by the inversion of the Raman lidar to form a data sample set; divide the data sample set into a training sample set and a te...
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