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Engineering Education # 07, July 2016

Engineering Education # 07, July 2016
Analysis of Visual Variables for Cartographic Interfaces of Automated Information Processing Systems (ASIP)
Radiooptics # 01, January 2015
DOI: 10.7463/rdopt.0115.0776659
pp. 1-8

Engineering Bulletin # 06, June 2015
УДК: 681.5

Engineering Bulletin # 11, November 2014
УДК: 681.5

Engineering Bulletin # 10, October 2014
УДК: 681.5

Engineering Bulletin # 10, October 2013
77-30569/281808 Algorithm of computer-aided generation of teaching selection for neural network hand-written characters recognition
Engineering Education # 11, November 2011
Algorithm of computer-aided generation of teaching selection for neural network with error backpropagation was considered. Teaching and hand-written character recognition occurred through the generation of finite set of different images of the character. The deviation of trace parameters of the character didn’t exceed 15% (values of angles of significant segments with coordinate axis) from the reference hand-written character. It was shown that neural network learned faster from auto-generated selection than from selection generated by a man. Algorithm was implemented in Microsoft C# language.
77-30569/280351 Study of operating speed of neuro-network handwriting parser
Engineering Education # 12, December 2011
The authors studied dependence of speed of on-line handwriting parser created on the basis of artificial neuron networks, on the architecture of these networks and program solution as a whole for manual and automated methods of symbols (letters) selection from a connected sequence (words). For each method the authors developed s simulation model which is realized in GPSS language. The simulation results showed that personal pocket computers (PDA) make it possible to carry out handwriting parsing software capable of granting the user useful functionality at an acceptable level.
 
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