№2 (29), 2014. ТЕХНОЛОГИИ И ОБОРУДОВАНИЕ ДЛЯ МАШИНОСТРОИТЕЛЬНОГО ПРОИЗВОДСТВА

S.V. Glubokova

Neural Networks application for measuring methods selection for geometric elements orientation deviations

A hybrid neural network is proposed realizing measuring methods selection for geometric elements orientation deviations of machined parts. Software is developed to automate the process of the choice of measurement method.

 

Keywords: metrological support, tolerances of orientation, fuzzy logic, neural networks..

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