Contributions to improving the design of a logistics equipment, using artificial neural networks
Author(s) -
Daniel-Constantin Anghel,
Maria Mihaela ISTRATE
Publication year - 2019
Publication title -
university of pitesti scientific bulletin - automotive series
Language(s) - English
Resource type - Journals
eISSN - 2601-0380
pISSN - 1453-1100
DOI - 10.26825/bup.ar.2019.001
Subject(s) - artificial neural network , operator (biology) , manufacturing engineering , production line , engineering , belt conveyor , conveyor belt , computer science , systems engineering , industrial engineering , automotive engineering , mechanical engineering , artificial intelligence , biochemistry , chemistry , repressor , transcription factor , gene
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