Scientists create a neural network for adaptive shock absorbers

Scientists at South Ural State University have proposed an effective low-level controller based on an artificial neural network with a time delay for an adaptive shock absorber. Yuri Rozhdestvensky, DSc, and his research team described the use of an active shock absorber control algorithm based on an artificial neural network. Their article, titled "Active Shock Absorber Control Based on Time-Delay Neural Network," is published in a special issue of Energies dedicated to intelligent transport systems.

from News on Artificial Intelligence and Machine Learning https://ift.tt/2Ad2CH9

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