| 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 and Technology,2000,17(1):136~138.[点击复制] |
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| 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 1369 全文点击 1355 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 |
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| 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. |
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