Identification of optimal efficiency exploitation conditions of axial-piston hydraulic motor A2FM type using Artificial Neural Network algorithms

Andrzej Banaszek. Identification of optimal efficiency exploitation conditions of axial-piston hydraulic motor A2FM type using Artificial Neural Network algorithms. In Jaroslaw Watróbski, Wojciech Salabun, Carlos Toro 0001, Cecilia Zanni-Merk, Robert J. Howlett, Lakhmi C. Jain, editors, Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, Virtual Event / Szczecin, Poland, 8-10 September 2021. Volume 192 of Procedia Computer Science, pages 1532-1540, Elsevier, 2021. [doi]

Abstract

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