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Machine Learning Approach for Degradation Path Prediction Using Different Models and Architectures of Artificial Neural Networks
Author(s) -
Basheer Shaheen,
István Németh
Publication year - 2022
Publication title -
periodica polytechnica mechanical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.259
H-Index - 16
eISSN - 1587-379X
pISSN - 0324-6051
DOI - 10.3311/ppme.20145
Subject(s) - artificial neural network , computer science , computation , component (thermodynamics) , scheduling (production processes) , activation function , process (computing) , path (computing) , degradation (telecommunications) , artificial intelligence , function (biology) , algorithm , mathematical optimization , mathematics , telecommunications , physics , evolutionary biology , biology , thermodynamics , programming language , operating system

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