Classification of signals using neural network technology

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Currently, the threat of sabotage on hydraulic structures (bridges, dams, drilling rigs, etc.) has increased. In this regard, the creation of effective hydroacoustic monitoring systems is an urgent task. The article considers the possibility of solving the problem of signal classification using neural network technology.

Modeling, neuron, neural network, learning, deterministic signal, harmonics

Короткий адрес: https://sciup.org/146282446

IDR: 146282446   |   DOI: 10.17516/1999-494X-0394

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