Applications of Neural Networks for Exactness of Treatment on Machine-Tools with Parallel Kinematics

Autor:	Radoje Cvejić, Sergiy Kovalevskyy, Veis Šerifi, Olena Kovalevska, Mitar Lutovac
Rok vydání:	2015
Předmět:	business.product_category Artificial neural network Computer science business.industry Control engineering General Medicine Machine tool Parallel kinematics Hopfield network medicine.anatomical_structure medicine Numerical control Neuron Artificial intelligence business
Zdroj:	Applied Mechanics and Materials. 806:88-93
ISSN:	1662-7482
DOI:	10.4028/www.scientific.net/amm.806.88
Popis:	In this paper authors conducted analysis of management features on machine-tools with numerical control using neural network for achieving exactness. Applications of Hopfield networks are discussed in the paper along with application of neuron computers that offer decision making of tasks ticker-coil.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::9f79c2db8bea7bf6716215ddade32d00 https://doi.org/10.4028/www.scientific.net/amm.806.88 Zobrazit plný text záznamu