| 利用双向联想神经网络对缺损自定义字符图形的识别 |
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| 引用本文： | 李殿奎,曲若梅,孙志勇.利用双向联想神经网络对缺损自定义字符图形的识别[J].佳木斯大学学报,2002,20(4):433-437. |
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| 作者姓名： | 李殿奎 曲若梅 孙志勇 |
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| 作者单位： | 佳木斯大学信息中心 黑龙江佳木斯154007
(李殿奎，曲若梅)，佳木斯大学信息中心 黑龙江佳木斯154007(孙志勇) |
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| 摘 要： | 阐述了采用计算机人工智能原理的双向联想神经网络进行自定义字符图形识别的方法和技术实现的方式，给出采用Visual,Foxpro数据库管理系统程序实现的实例，讨论影响双向联想神经网络系统识别准确率的因素。
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| 关 键 词： | 缺损自定义字符图形 双向联想神经网络 字符图形识别 人工智能 识别准确率 |
| 文章编号： | 1008-1402(200204)-0433-05 |
| 修稿时间： | 2002年8月26日 |
DISTINGUISHING OF SELF-DEFINED CHARACTER GRAPH BY MEANS OF BILATERAL ASSOCIATIVE MEMORY NEURON NETWORK |
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| LI Dian-kui,QU Ruo-mei,SUN Zhi-yong.DISTINGUISHING OF SELF-DEFINED CHARACTER GRAPH BY MEANS OF BILATERAL ASSOCIATIVE MEMORY NEURON NETWORK[J].Journal of Jiamusi University(Natural Science Edition),2002,20(4):433-437. |
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| Authors: | LI Dian-kui QU Ruo-mei SUN Zhi-yong |
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| Abstract: | This paper explores how to distinguish self-defined character graph by means bilateral associative memory neuron network of artificial intelligence principle, gives a practical example of program by using Visual Foxpro 6.0 database management system, and discusses the reasons of influencing the accurate rate of distinguishing characters on bilateral associative memory neuron network system. |
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| Keywords: | bilateral associative memory neuron network distinguishing of self-defined character graph |
| 本文献已被 CNKI 维普 等数据库收录！ |
