| 基于模糊神经网络的水泥强度预测 |
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| 引用本文： | 董吉文,陈月辉,袁润章,刘韩星.基于模糊神经网络的水泥强度预测[J].山东建筑工程学院学报,2005,20(1):1-3. |
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| 作者姓名： | 董吉文 陈月辉 袁润章 刘韩星 |
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| 作者单位： | [1]武汉理工大学材料复合新技术国家实验室，湖北武汉430070／／济南大学信息科学与工程学院，山东济南250022 [2]济南大学信息科学与工程学院，山东济南250022 [3]武汉理工大学材料复合新技术国家实验室，湖北武汉430070 |
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| 基金项目： | 国家自然科学基金资助项目(69902005) |
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| 摘 要： | 利用软计算技术预测水泥强度不但是一项新的尝试，而且具有较高的理论和应用价值。本文利用模糊神经网络良好的非线性逼近能力建立了水泥强度的模糊神经网络预测模型。模糊神经网络的学习算法采用的是快速的粒子群优化算法。仿真结果表明，该模型在预测水泥28d强度方面达到了很高的精度，有较好的实用价值。
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| 关 键 词： | 模糊神经网络 粒子群优化算法 水泥强度 预测 |
Cement strength prediction based on fuzzy neural network |
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| DONG Ji-wen.Cement strength prediction based on fuzzy neural network[J].Journal of Shandong Institute of Architecture and Engineering,2005,20(1):1-3. |
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| Authors: | DONG Ji-wen |
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| Affiliation: | DONG Ji-wen~ |
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| Abstract: | It is valuable both in theories and the applications for predicting cement strength by soft computing techniques. In this paper, a fuzzy neural network prediction model for the cement strength was proposed utilizing the nice approximation ability of fuzzy neural networks to given nonlinear systems. A fast stochastic global optimization algorithm, particle group optimization algorithm, was used for training the fuzzy neural network. Simulation results showed that the accurate prediction model for 28-days cement strength is obtained and that it is expected to use in practical cement prediction. |
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| Keywords: | fuzzy neural network particle group optimization cement strength prediction |
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