| 基于粗集理论的神经网络 |
| |
| 引用本文： | 曾黄麟,曾谦. 基于粗集理论的神经网络[J]. 四川理工学院学报(自然科学版), 2000, 13(1) |
| |
| 作者姓名： | 曾黄麟 曾谦 |
| |
| 作者单位： | 四川轻化工学院电子与信息工程系,四川,自贡,643033 |
| |
| 基金项目： | 四川省科委应用研究重点项目课题基金，四川省学术带头人培养资金 |
| |
| 摘 要： | 在分析了粗集理论方法和人工神经网络方法两者各自的特点与共同之处后，首先探讨粗集学习与神经网络学习的结合方法，然后提出一种基于粗集预处理的神经网络系统，最后给出一个基于粗集方法作为信息预处理的神经网络文字识别的例子，来说明基于粗集的神经网络系统的优越性
|
| 关 键 词： | 粗集理论 神经网络 智能信息处理 模式识别 |
Neural Networks Based on Rough Sets |
| |
| ZENG Huang-lin,ZENG Qian. Neural Networks Based on Rough Sets[J]. Journal of Sichuan University of Science & Engineering(Natural Science Editton), 2000, 13(1) |
| |
| Authors: | ZENG Huang-lin ZENG Qian |
| |
| Abstract: | Analyzed the generalities and specialities of rough sets and artificial neural networks in knowledge representation and process of signal classification, a minimum decision network combining rough sets with neural network learning in intelligence processing is investigated, and a kind of neural network system on rough sets is proposed for pattern recognition. Finally, a practical example of application in character recognition with neural networks on rough sets is given to illustrate the efficient method proposed here. |
| |
| Keywords: | rough sets neural networks intelligence processing pattern recognition |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
