Comparative analysis of methods for classification in predicting the quality of bread
https://doi.org/10.20914/2310-1202-2013-1-57-62
Abstract
The comparative analysis of classification methods of two-stage cluster and discriminant analysis and neural networks was performed. System of informative signs which classifies with a minimum of errors has been proposed.
About the Authors
E. A. Balashova
Воронеж. гос. ун-т. инж. технол.
Russian Federation
доцент, кафедра информационных и управляющих систем
Russian Federation
доцент, кафедра информационных и управляющих систем
V. K. Bitjukov
Воронеж. гос. ун-т. инж. технол.
Russian Federation
профессор, кафедра информационных и управляющих систем
Russian Federation
профессор, кафедра информационных и управляющих систем
E. A. Savvina
Воронеж. гос. ун-т. инж. технол.
Russian Federation
аспирант, кафедра информационных и управляющих систем
Russian Federation
аспирант, кафедра информационных и управляющих систем
References
1. 1 Bityukov, V. K. Iterative algorithm diagnostic systems described by qualitative features of boron-[Text] / V. K. Bityukov, E. A. Balashov, S. C. Suntsov // Control systems and information technology. - 2008. - № 4.1 (34). - C. 134-138.
2. 2 Kim, Dzh.-O. Factorial, discriminant and cluster analysis [text] /Dzh.-O. Kim, C. / Ch.U. Myuller, U.R. Klekka andothers - Moscow: Finance and Statistics, 1989. - 215 p.
3. 3 Sanin, T. V. Scopingquality of bakery products [Text] / T. V. Sanin, E. I. Ponomarev. - Voronezh: VSTA, 2008. - 144 p.
Review
For citations:
Balashova E.A., Bitjukov V.K., Savvina E.A. Comparative analysis of methods for classification in predicting the quality of bread. Proceedings of the Voronezh State University of Engineering Technologies. 2013;(1):57-62. (In Russ.) https://doi.org/10.20914/2310-1202-2013-1-57-62
Views:
525
Email this article 
Post a Comment 
