Hailstone Classifier Based on Back Propagation Neural Network

Xiang Yang Liu; Hui Song Wan; Yuan Yuan Zhang; Shu Ming Jiang

doi:10.4028/www.scientific.net/AMM.433-435.685

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 433-435Hailstone Classifier Based on Back Propagation...

Hailstone Classifier Based on Back Propagation Neural Network

Abstract:

The Back Propagation (BP) neural network was used for the construction of the hailstone classifier. Firstly, the database of the radar image feature was constructed. Through the image processing, the color, texture, shape and other dimensional features should be extracted and saved as the characteristic database to provide data support for the follow-up work. Secondly, Through the BP neural network, a machine for hail classifications can be built to achieve the hail samples auto-classification.

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Periodical:

Applied Mechanics and Materials (Volumes 433-435)

Pages:

685-690

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.433-435.685

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Online since:

October 2013

Authors:

Xiang Yang Liu, Hui Song Wan*, Yuan Yuan Zhang, Shu Ming Jiang

Keywords:

BP Neural Network (BPNN), Characteristic Database, Hailstone Classifier

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* - Corresponding Author

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