| 基于遗传算法的神经认知机选择度调整方法 |
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| 引用本文： | 郑丽颖,唐降龙,赵巍. 基于遗传算法的神经认知机选择度调整方法[J]. 哈尔滨工业大学学报, 2006, 38(10): 1665-1668 |
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| 作者姓名： | 郑丽颖 唐降龙 赵巍 |
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| 作者单位： | 哈尔滨工业大学,计算机科学与技术学院,哈尔滨,150001;哈尔滨工程大学,计算机科学与技术学院,哈尔滨,150001;哈尔滨工业大学,计算机科学与技术学院,哈尔滨,150001 |
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| 摘 要： | 基于视觉模型而建立的神经认知机能正确识别具有变形、位移和缩放的输入模式.研究表明,选择度参数直接影响着神经认知机的识别能力.设计了一个目标函数,通过对该函数的优化能够得到最佳的选择度.这是一种简单而有效的方法.经该方法调整后,可使各特征选择平面对不同训练样本的响应达到均匀一致,从而提高整个系统的识别能力.对于0~9十个手写阿拉伯数字的仿真结果表明,该方法可有效改善神经认知机的性能.
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| 关 键 词： | 神经认知机 选择度 遗传算法 |
| 文章编号： | 0367-6234(2006)10-1665-04 |
| 收稿时间： | 2004-09-05 |
| 修稿时间： | 2004-09-05 |
A genetic algorithm based method for adjusting selectivity of the neocognitron |
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| ZHENG Li-ying,TANG Xiang-long,ZHAO Wei. A genetic algorithm based method for adjusting selectivity of the neocognitron[J]. Journal of Harbin Institute of Technology, 2006, 38(10): 1665-1668 |
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| Authors: | ZHENG Li-ying TANG Xiang-long ZHAO Wei |
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| Affiliation: | 1. School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China; 2. School of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China |
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| Abstract: | The neocognitron,which is proposed based on the model of biological vision,has been acclaimed as a shift and distortion tolerant character recognition system.Unfortunately,studies show that the performance of the neocognitron is affected greatly by the value of its selectivity.The neocognitron has a poor recognition rate if the value of selective is not reasonable.A genetic algorithm based method for adjusting necognitron's selectivity is proposed in this paper.By using the proposed method,the responses of S-plane are uniform.The proposed method is tested on 10 digits,and the simulation results show that it is capable of improving the recognition rate of the neocognitron. |
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| Keywords: | neocognitron selectivity genetic algorithm |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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