| 基于RBF网络的商品混凝土强度预测分析 |
| |
| 引用本文： | 赵胜利,刘燕.基于RBF网络的商品混凝土强度预测分析[J].计算机工程,2005,31(18):36-37,40. |
| |
| 作者姓名： | 赵胜利 刘燕 |
| |
| 作者单位： | 1. 天津大学管理学院,天津,300072;河北农业大学城建学院,保定,071001
2. 河北农业大学城建学院,保定,071001 |
| |
| 基金项目： | 国家自然科学基金资助项目（70371046） |
| |
| 摘 要： | 提出具有9个输入节点, 1个输出节点的 RBF神经网络模型来模拟抗压强度及其影响因素之间复杂非线性关系.作为对比,作者同时比较了3种不同输入模型的RBF网络的预测效果并与传统的BP网络模型进行比较,结果表明,文章提出的RBF网络模型具有很高的预测精度和较强的泛化能力,可作为商品混凝土性能分析的一种新型有效的方法.
|
| 关 键 词： | RBF神经网络 抗压强度 性能预测 |
| 文章编号： | 1000-3428（2005）18-0036-02 |
| 收稿时间： | 2004-06-11 |
| 修稿时间： | 2004-06-11 |
Performance Prediction of Commercial Concrete Based on RBF Neural Network |
| |
| Zhao Shengli,LIU Yan.Performance Prediction of Commercial Concrete Based on RBF Neural Network[J].Computer Engineering,2005,31(18):36-37,40. |
| |
| Authors: | Zhao Shengli LIU Yan |
| |
| Affiliation: | 1 .Management School, Tianjin University,Tianjin 300072, 2.Rural and Urban Construction College Hebei Agricultural University, Baoding 071001 |
| |
| Abstract: | On the basis of comprehensive analysis, a prediction model of RBF network with 9 input vectors and 1 output vectors is set up to express the complex nonlinear relationship of performance index and their influencing factors. In contrast, the prediction results from three different input models of RBF network are compared with each other, and also compared with that of BP network. As a result, the RBF network model mentioned in this paper has high precision and good generalization capacity and can become a new effective prediction method. |
| |
| Keywords: | RBF neural network Compressive strength Performance prediction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
