DOMINANT TECHNOLOGIES IN “INDUSTRY 4.0”
AN ALGORITHM FOR ISAR IMAGE CLASSIFICATION PROCEDURE
Industry 4.0, Vol. 2 (2017), Issue 2, pg(s) 76-79
This article offers a neural network architecture for automatic classification of Inverse Synthetic Aperture Radar objects represented in images with high level of optimization. A full explanation of the procedures of two-layer neural network architecture creating and training is described. The neural network is experimentally simulated in MATLAB environment.