Influence of the Symmetry Neural Network Morphology on the Mine Detection Metric
Roman Mykhailovych Peleshchak,
Vasyl Volodymyrovych Lytvyn,
Mariia Andriivna Nazarkevych
et al.
Abstract:Presently, active detectors are widely used to detect mines, providing high accuracy. However, the principle of the operation of active detectors can lead to the explosion of hidden mines. The novelty of this work is the development of the morphology of a neural network for the classification of mines made of different materials (metallic, semi-metallic, plastic) with high accuracy (99.23%), based on a vector of input features with the following components: the value of the output voltage of the FLC-100 magnet… Show more
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