引用本文:张明路,郭　东.用于模式识别的ART-2神经网络算法的改进[J].控制理论与应用,2000,17(1):136~138.[点击复制]
ZHANG Ming-lu,GUO Dong.The Improvement on ART-2 Neural Network Algorithm for Pattern Recognition[J].Control Theory & Applications,2000,17(1):136~138.[点击复制]
用于模式识别的ART-2神经网络算法的改进
The Improvement on ART-2 Neural Network Algorithm for Pattern Recognition
摘要点击 1778  全文点击 1528  投稿时间：1998-01-09  修订日期：1998-07-20
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DOI编号  
  2000,17(1):136-138
中文关键词  模式识别  神经网络
英文关键词  pattern recognition  neural network
基金项目  
作者单位
张明路 河北工业大学 机械学院, 天津 300130 
郭　东 天津大学 智能机械研究所, 天津 300072 
中文摘要
      针对模式识别中模式有序输出的要求, 对ART 2神经网络的算法进行了改进和调整, 提出了ART 2神经网络的改进算法. 通过对改进算法与原算法的识别试验结果进行比较, 表明该改进算法对模式的有序输出是可行的和有效的.
英文摘要
      The learning algorithm of ART 2 neural network is improved and adjusted based on the sequence recognition process in many recognition systems,and an improved learning algorithm of ART 2 neural network isrepresented in this paper.The comparative experimental results between the two learning algorithm prove the improved learning algorithm is practicable and effective for sequence recognition process.