Využití metod strojového učení pro analýzu vad výrobku

Abstract

This thesis is focused on design and implementation of program with using neural networks for product failure analysis in seriál production in certain production facility. Theoretical part explains different kinds of neural networks and their possible usage, practical part tries to use available data from real process for defect analysis.

Description

Subject(s)

Neural network, analysis, Machine Learning

Citation