基于RBF神经网络的烧结终点预测模型 |
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引用本文: | 孙学波,屈文涛.基于RBF神经网络的烧结终点预测模型[J].世界研究与发展,2008,30(1):21-23. |
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作者姓名: | 孙学波 屈文涛 |
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作者单位: | 辽宁科技大学计算机科学与工程学院,鞍山114051 |
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摘 要: | 本文提出一种基于径向基函数(RBF)神经网络的烧结终点预测模型。该模型首先采用改进的最近邻聚类算法确定径向基函数中心,接着应用递推最小二乘法训练网络的权值。通过现场采集数据对该模型进行仿真,其实验结果表明,该模型具有较好的学习能力和泛化能力,为烧结终点的预测提供了一种新的解决方法。
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关 键 词: | 径向基函数 神经网络 烧结终点 最近邻聚类算法 最小二乘法 |
Burning through Point Prediction Model Based on RBF Neural Network |
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Authors: | SUN Xuebo QU Wentao |
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Abstract: | In this paper,a burning through point prediction model based on RBF neural network is presented. The model uses an improved nearest - neighbor clustering algorithm to select the RBF center, and a recursive least square algorithm to train weights of the RBF neural network. The simulation results show that the network has excellent learning capacities and generalization ability. Therefore the model is a new effective approach for BTP prediction. |
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Keywords: | RBF neural network burning through point nearest neighbor clustering algorithm least square algorithm |
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