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Handwritten alphabet and digit character recognition using feature extracting neural network and modified self-organizing map

机译：使用特征提取神经网络和修改的自组织地图的手写字母和数字字符识别

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K. Nakayama; Y. Chigawa; O. Hasegawa;
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1. Integrating scattering feature maps with convolutional neural networks for Malayalam handwritten character recognition [J] . K. Manjusha, M. Anand Kumar, K. P. Soman International Journal on Document Analysis and Recognition . 2018,第3期

机译：结合散射特征图和卷积神经网络进行马拉雅拉姆语手写字符识别
2. Data augmentation and directional feature maps extraction for in-air handwritten Chinese character recognition based on convolutional neural network [J] . Qu Xiwen, Wang Weiqiang, Lu Ke, Pattern recognition letters . 2018,第AUGa1期

机译：基于卷积神经网络的空中手写汉字识别数据扩充与方向特征图提取
3. Using Optimized Features for Modified Optical Backpropagation Neural Network Model in Online Handwritten Character Recognition System [J] . Fenwa O.D, Adetunji A.B, Ajala F.A Journal of Information Engineering and Applications . 2014,第8期

机译：在线手写字符识别系统中使用优化特征的改进光学反向传播神经网络模型
4. Handwritten alphabet and digit character recognition using feature extracting neural network and modified self-organizing map [C] . Nakayama, K., Chigawa, . 1992

机译：利用特征提取神经网络和改进的自组织图进行手写字母和数字字符识别
5. Comparison of Search Algorithms in Two-Stage Neural Network Training for Optical Character Recognition of Handwritten Digits [D] . Gilley, Patrik Wayne. 2020

机译：两级神经网络训练中搜索算法的比较，用于手写数字的光学字符识别
6. Improved Handwritten Digit Recognition Using Convolutional Neural Networks (CNN) [O] . Savita Ahlawat, Amit Choudhary, Anand Nayyar, 2020

机译：使用卷积神经网络（CNN）改进的手写数字识别
7. Handwritten Character Recognition Based on Relative Position of Local Features Extracted by Self-Organizing Maps [O] . Horio Keiichi, Yamakawa Takeshi 2007

机译：基于自组织图提取局部特征相对位置的手写字符识别
8. Handwritten Character Recognition Using Feature Extraction and Neural Networks [R] . Fuller, J. J., Farsaie, A., Dumoulin, T. 1991

机译：基于特征提取和神经网络的手写字符识别

Handwritten alphabet and digit character recognition using feature extracting neural network and modified self-organizing map

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