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A Novel Approach of Handwritten Devanagari Character Recognition through Feed Forward Back Propagation Neural Network

机译：前馈神经网络的手写体梵文字符识别新方法

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Shubhra Saxena; P. C. Gupta;
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年度 2013
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1. Handwritten Devanagari Character Recognition Using Layer-Wise Training of Deep Convolutional Neural Networks and Adaptive Gradient Methods [J] . Mahesh Jangid, Sumit Srivastava Journal of Imaging . 2018,第2期

机译：深度卷积神经网络的分层明智训练和自适应梯度法的手写体梵文字符识别
2. Hybrid Feature Vector for the Recognition of Arabic Handwritten Characters Using Feed-Forward Neural Network [J] . Lamghari N., Charaf M. E. H., Raghay S. Arabian Journal for Science and Engineering . 2018,第12期

机译：混合特征向量用于前馈神经网络识别阿拉伯手写字符
3. An Investigation on the Performance of Hybrid Features for Feed Forward Neural Network Based English Handwritten Character Recognition System [J] . J. PRADEEP, E. SRINIVASAN, S. HIMAVATHI WSEAS Transactions on Signal Processing . 2014,第Pta1期

机译：基于前馈神经网络的英语手写字符识别系统的混合功能性能研究
4. An Efficient Approach for Handwritten Devanagari Character Recognition based on Artificial Neural Network [C] . Nikita Singh International Conference on Signal Processing and Integrated Networks . 2018

机译：基于人工神经网络的手写梵文字符识别的一种有效方法。
5. An evaluation of feed-forward, back-propagation neural networks for optimal design of structural systems and for modular analysis of electronic packages. [D] . Zhang, Li. 2001

机译：对前馈，后向传播神经网络的评估，用于结构系统的最佳设计和电子封装的模块化分析。
6. Handwritten Bangla Character Recognition Using the State-of-the-Art Deep Convolutional Neural Networks [O] . Md Zahangir Alom, Paheding Sidike, Mahmudul Hasan, 2018

机译：使用最先进的深度卷积神经网络进行手写Bangla字符识别
7. Devanagari Handwritten Character Recognition using Hybrid Features Extraction and Feed Forward Neural Network Classifier (FFNN) [O] . Saniya Ansari, Udaysingh Sutar 2015

机译：Devanagari手写字符识别使用混合特性提取和馈送前向神经网络分类器（FFNN）
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

A Novel Approach of Handwritten Devanagari Character Recognition through Feed Forward Back Propagation Neural Network

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