350 rub
Journal Science Intensive Technologies №5 for 2016 г.
Article in number:
Development and improvement of the adaptive software for product quality prediction
Keywords:
logistic regrssion
adaptive model for product quality prediction
information system of production
Authors:
V.P. Marin - Academic APK, Dr. Sc. (Eng.), Professor, Moscow State University of Information Technologies, Radio Engineering and Electronics (MIREA)
B.P. Sadkovsky - Dr. Sc. (Eng.), Professor, Bauman Moscow State Technical University. E-mail: 1012sbp@rambler.ru
N.E. Sadkovskaya - Dr. Sc. (Eng.), Associate Professor, Bauman Moscow State Technical University. E-mail: natsadkovskaya@rambler.ru
O.V. Knyazev - Ph. D. (Eng.), Head of Department, TransKapitalBank. E-mail: xle-gus@gmail.com
Abstract:
In this article notes importance of the development of a software production enterprise information systems for industrial quality control. Given list of methods that can be used for quality prediction. Described logistic regression method for quality prediction. Method of constructing an adaptive environment for rebuilding the model. Described weight of evidence and IV calculation. Provided mathematical criteria for controlling new models. Matlab algorithm provide with description. Given information system architecture for implementation adaptive quality control. Main advantages of method are provided too.
Pages: 55-60
References
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