Improved Method of Handwritten Digit Recognition
نویسندگان
چکیده
MNIST database serves for comparison of different methods of handwritten digit recognition. There are many data related to different classifier recognition rates among which our neural classifier had the second place [1] (recognition rate 99.21%). At present we develop improvements of neural network structure and algorithms of handwritten digit recognition. Improved classifier has recognition rate 99.37%. This result is the best from the known ones. In this paper we briefly describe the general structure of our classifier and the latest improvements.
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