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Design and Implementation of Neural Network Digital Recognition

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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 Tang

ABSTRACT

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 intelligence

CITE 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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