Abstract
Due to the coming of the era of big data, and the computer processing power has been greatly improved. This will provide favorable conditions for the development of the convolutional neural network and then it will become an important object in the field of computer vision. Firstly, it summarized the development of the convolutional neural network and enumerated some successful models of convolutional neural network. Secondly, it introduced the working principle of convolutional neural network in detail, and also analyzed the operation mode of convolutional layer and sampling layer. Finally, it realize the recognition of handwritten figures Based on Convolutional Neural Network, and the experimental result shows, 196 were correct and 4 were wrong when the samples are 200, the recognition rate was 98%.
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Acknowledgement
This work was jointly supported by Natural Science Foundation of China (61773296), the Education Department of Jiangxi Province of China Science and Technology research projects with the Grant No. GJJ151433, GJJ161687, GJJ161688 and GJJ161691.
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Tao, X., Wang, W., Lu, L. (2018). The Reorganization of Handwritten Figures Based on Convolutional Neural Network. In: Li, K., Li, W., Chen, Z., Liu, Y. (eds) Computational Intelligence and Intelligent Systems. ISICA 2017. Communications in Computer and Information Science, vol 874. Springer, Singapore. https://doi.org/10.1007/978-981-13-1651-7_46
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DOI: https://doi.org/10.1007/978-981-13-1651-7_46
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