Design and Implementation of Neural Network Digital Recognition
DOI: 10.23977/jeis.2023.080616 | Downloads: 14 | Views: 228
Author(s)
Meng Tang 1
Affiliation(s)
1 Sichuan Technology & Business College, Dujiangyan, China
Corresponding Author
Meng TangABSTRACT
Neural network digital recognition is a method of digital image recognition using neural network technology. Neural network has self-learning ability, which can automatically extract features from a large number of input data to predict unknown data. The purpose of digital recognition is to enable computers to recognize and interpret digital images, which is widely used in daily life and work. This paper introduces the design and implementation of neural network digital recognition based on client/server mode development. The system implements a handwritten canvas, which can recognize and learn numbers from 0 to 9.
KEYWORDS
Number recognition; Neural network; artificial intelligenceCITE THIS PAPER
Meng Tang, Design and Implementation of Neural Network Digital Recognition. Journal of Electronics and Information Science (2023) Vol. 8: 132-138. DOI: http://dx.doi.org/10.23977/10.23977/jeis.2023.080616.
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