Fuzzy logic module of convolutional neural network for handwritten digits recognition / Popko E.A., Weinstein I.A. // Journal of Physics: Conference Series. - 2016. - V. 738, l. 1.

ISSN:
17426588
Type:
Conference Paper
Abstract:
Optical character recognition is one of the important issues in the field of pattern recognition. This paper presents a method for recognizing handwritten digits based on the modeling of convolutional neural network. The integrated fuzzy logic module based on a structural approach was developed. Used system architecture adjusted the output of the neural network to improve quality of symbol identification. It was shown that proposed algorithm was flexible and high recognition rate of 99.23% was achieved. © Published under licence by IOP Publishing Ltd.
Author keywords:
Index keywords:
Character recognition; Computer circuits; Convolution; Integrated circuits; Logic devices; Neural networks; Optical character recognition; Pattern recognition; Reconfigurable hardware; Convolutional n
DOI:
10.1088/1742-6596/738/1/012123
Смотреть в Scopus:
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84988693283&doi=10.1088%2f1742-6596%2f738%2f1%2f012123&partnerID=40&md5=42553dd3f9c819c9675537cd116411fe
Соавторы в МНС:
Другие поля
Поле Значение
Art. No. 012123
Link https://www.scopus.com/inward/record.uri?eid=2-s2.0-84988693283&doi=10.1088%2f1742-6596%2f738%2f1%2f012123&partnerID=40&md5=42553dd3f9c819c9675537cd116411fe
Affiliations NANOTECH Centre, Ural Federal University, Mira Street, 19, Yekaterinburg, Russian Federation
References Ross, T.J., (2010) Fuzzy Logic with Engineering Applications, , (West Sussex, UK: John Wiley amp; Sons); Latoria, A., Chauhan, A.S., Saxena, A.S., (2012) International J. of Computers&Technology, 3, p. 458; Lecun, Y., (1999) Proc. of IEEE, 86 (11), p. 2278; Davies, E.R., (2012) Computer and Machine Vision: Theory, Algorithms, Practicalities, , (Oxford, UK: Elsevier); Bishop, C.M., (2006) Pattern Recognition and Machine Learning, , (New York: Springer); Simard, P.Y., Steinkraus, D., Platt, J.C., (2003) Proc. 7th Int. Conf on Document Analysis and Recognition, p. 958; http://yann.lecun.com/exdb/mnist/, The MNIST Database; Popko, E.A., Weinstein, I.A., (2016) Submitted Certificate on Official Registration of the Computer Program; Yang, Z., Moczulski, M., Denil, M., (2015) Proc. of the IEEE Int. Conf on Computer Vision, p. 1476; Lee, H., Grosse, R., Ranganath, R., Ng, A.Y., (2009) ICML Proc. of the 26th Annual Int. Conf. on Machine Learning, p. 609; Thom, M., Palm, G., (2013) J. of Machine Learning Research, 14, p. 1091; Oulette, R., Browne, M., Hirasawa, K., (2004) Proc. of the 2004 IEEE Congress on Evolutionary Computation, 1, p. 516; Stanley, K.O., Miikkulainen, R., (2002) Evolutionary Computation, 10 (2), p. 99; Weinstein, I.A., Popko, E.A., (2008) Radiat. Meas., 43 (2-6), p. 218; Weinstein, I.A., Popko, E.A., (2006) Tech. Phys. Letters, 32 (6), p. 534
Editors Vagenas E.C.Vlachos D.S.
Publisher Institute of Physics Publishing
Conference name 5th International Conference on Mathematical Modeling in Physical Sciences, IC-MSquare 2016
Conference date 23 May 2016 through 26 May 2016
Conference code 123700
Language of Original Document English
Abbreviated Source Title J. Phys. Conf. Ser.
Source Scopus