Application of SAE-DNN in Classification of Equipment Maintenance Value

Abstract

In the equipment support command process, the judgment of the maintenance value of damaged equipment is an important prerequisite for the allocation of power in wartime. Aiming at this problem, the neural network model is researched from the perspective of the classification of maintenance value of wartime equipment, and the training is carried out by Sparse Auto Encoder to improve the training speed. Finally got the classification accuracy of 0.95. The results prove that this model can provide support for wartime equipment support command decision.