| 基于BP神经网络的手写字符识别系统 |
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| 引用本文： | 张斌,赵玮烨,李积宪.基于BP神经网络的手写字符识别系统[J].兰州铁道学院学报,2007,26(1):18-20. |
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| 作者姓名： | 张斌 赵玮烨 李积宪 |
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| 作者单位： | 兰州交通大学数理与软件工程学院 甘肃兰州730070 |
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| 摘 要： | 基于BP神经网络对非线性系统辨识的通用性和自适应性等特点,构建了一个BP神经网络模型,增强了网络的自适应能力和学习能力,提高了网络的精度和收敛速度,并在此基础上开发出一个高效准确的手写体字符识别系统.
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| 关 键 词： | 模式识别 人工神经网络 BP神经网络 |
| 文章编号： | 1001-4373(2007)01-0018-03 |
| 修稿时间： | 2006-09-18 |
Handwritten Character Recognition System Based on BP Neural Network |
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| Zhang Bin,Zhao Weiye,Li Jixian.Handwritten Character Recognition System Based on BP Neural Network[J].Journal of Lanzhou Railway University,2007,26(1):18-20. |
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| Authors: | Zhang Bin Zhao Weiye Li Jixian |
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| Institution: | School of Mathematics, Physics and Software Engineering, Lanzhou Jiaotong University, Lanzhou 730070,China |
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| Abstract: | Based on the features of BP neural network to the identification of nonlinear systems and adaptability,a BP neural network model is built to increase the network's capacity and adaptive learning capabilities of the network,and to improve the accuracy and speed of convergence.Furthermore,an efficient and accurate handwriting character recognition system is developed on this basis. |
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| Keywords: | pattern recognition artificial neural network(ANN) BP neural network |
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