| 基于RBF神经网络的晶体生产组织评价 |
| |
| 引用本文： | 李旭军,梁兴琦.基于RBF神经网络的晶体生产组织评价[J].苏州科技学院学报(自然科学版),2011,28(1):49-53. |
| |
| 作者姓名： | 李旭军 梁兴琦 |
| |
| 作者单位： | 安徽经济管理学院计算机工程系,安徽,合肥,230031 |
| |
| 基金项目： | 安徽省高校优秀青年人才基金资助项目(2009SQRZ205) |
| |
| 摘 要： | 在晶体的生产组织过程中,采用相关分析法确定影响评价的主要因素,建立一种基于RBF网络的生产组织评价模型,利用最邻近聚类算法,确定基函数中心点,将该模型与BP网络模型进行比较,结果表明:RBF网络在学习时间和评估精度上优越于BP网络。
|
| 关 键 词： | 相关分析法 最邻近聚类算法 RBF神经网络 BP神经网络 |
Evaluation of crystal production based on RBF neural networks |
| |
| LI Xujun,LIANG Xingqi.Evaluation of crystal production based on RBF neural networks[J].Journal of University of Science and Technology of Suzhou,2011,28(1):49-53. |
| |
| Authors: | LI Xujun LIANG Xingqi |
| |
| Institution: | LI Xujun,LIANG Xingqi(Department of Computer Engineering,Anhui Economics and Management Institute,Hefei 230031,China) |
| |
| Abstract: | This paper adopted the correlative analytic method to select the main factors influencing evaluation and established a model of crystal production evaluation based on the RBF neural networks.The nearest neighbor-clustering algorithm was used to decide the center of the basic function.At last,this model was compared with that founded on BP neural networks.The result shows that RBF neural networks model is much better than that of BP neural networks in learning time and evaluating precision. |
| |
| Keywords: | correlative analytic method the nearest neighbor-clustering algorithm RBF neural networks BP neural network |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
