The recurrent neural network with managed synapses for handwriting recognition of coherent text
- 1 Ph.D.(Phys.-Math.), Associate professor, Chair - Software, information technologies, and applied mathematics?, Kaluga branch of the Bauman MSTU
- 2 Ph.D.(Eng.), Associate professor, Chair - Computer systems, complexes, and networks?, Kaluga branch of the Bauman MSTU
Abstract
The article provides scientific justification for neural network selection for native penscript converting into electronic equivalent. One of the problems the authors had to deal with was the problem of native penscript manipulation quality improvement. For solving this problem the authors suggest to use the recurrent neural network with controllable synapses.
How to cite
Белова И.К., Дерюгина Е.О. Рекуррентная нейронная сеть с управляемыми синапсами для распознавания рукописного связного текста // Электромагнитные волны и электронные системы. 2013. № 10. С. 36–39.
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