| 基于MATLAB的RBF神经网络的应用 |
| |
| 引用本文： | 杨友良,许钊,王文辉. 基于MATLAB的RBF神经网络的应用[J]. 安徽冶金, 2009, 0(4): 58-60 |
| |
| 作者姓名： | 杨友良 许钊 王文辉 |
| |
| 作者单位： | 河北理工大学;河北唐海县人大常委办公室 |
| |
| 摘 要： | 提出了一种用于预转报炉炼钢终点磷含量的智能方法，在该方法中，采用RBFNN方法，对转炉冶炼过程进行建模与仿真。MATLAB中的神经网络工具箱是进行神经网络系统分析与设计的有力工具。RBF神经网络以其计算量小，学习速度快，不易陷入局部极小等诸多优点为系统辨识与建模提供了一种有效的手段。将二者结合起来，解决转炉冶炼中的建模问题，取得了令人满意的结果。
|
| 关 键 词： | RBF神经网络 MATLAB 转炉冶炼 磷含量 |
The Application of MATLAB-based RBF Neural Network |
| |
| Yang Youliang Xu Zhao Wang Wenhui. The Application of MATLAB-based RBF Neural Network[J]. Anhui Metallurgy, 2009, 0(4): 58-60 |
| |
| Authors: | Yang Youliang Xu Zhao Wang Wenhui |
| |
| Affiliation: | Yang Youliang1 Xu Zhao1 Wang Wenhui2(1.Hebei Polytechnic University,2.The office of Tanghai NPC St,ing Committee of Hebei) |
| |
| Abstract: | An intelligent method for predicting final P content of BOF is proposed.In the method,RBFNN is used to model and simulate the metallurgical process in BOF.MATLAB neural network toolbox is a powerful tool for system analyzing and designing of neural network.RBF neural network provides an effective means for system identification and modeling with its advantages of smaller calculation quantity and high learning speed.A combination of the two solved the problem of model building for BOF smelting,which has brou... |
| |
| Keywords: | RBF neural network MATLAB BOF smelting P content |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
