Assessing the reliability of CAD software by means of neural networks-Reference-Cited by-同舟云学术

Assessing the reliability of CAD software by means of neural networks

Published:2015-12 Issue:12 Volume:35 Page:879-882
ISSN:1068-798X
Container-title:Russian Engineering Research
language:en
Short-container-title:Russ. Engin. Res.

Author:

Solomentsev Yu. M.,Kabak I. S.,Sukhanova N. V.

Publisher

Allerton Press

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering

Link

http://link.springer.com/content/pdf/10.3103/S1068798X15120187.pdf

Reference14 articles.

1. Barlow, R.E. and Proschan, F., Mathematical Theory of Reliability, New York: Wiley, 1965.

2. GOST (State Standard) R ISO/IEC 12207–99: Information Technologies: Processes in the Life Cycle of Information Software, 2000.

3. Maslov, A.R., Measurement of the roughness parameters of a treated surface in turning parts fabricated from heat-resistant alloys, Meas. Techn., 2012, vol. 55, no. 6, pp. 648–653.

4. Teleshevsky, V.I., Glubokov, A.V., and Glubokova, S.V., Automated choice of methods and instruments for measuring deviations of arrangement, Meas. Techn., 2012, vol. 55, no. 6, pp. 637–642.

5. Solomentsev, Yu.M. and Pavlov, V.V., Modelirovanie proizvoditel’nykh sistem v mashinostroenii (Simulation of Production Systems in Manufacturing), Moscow: Yanus-K, 2010.

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