| 材料性能的模糊神经网络建模 |
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| 引用本文： | 王永强,夏伯才,等.材料性能的模糊神经网络建模[J].重庆工学院学报,2001,15(5):5-10. |
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| 作者姓名： | 王永强 夏伯才 |
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| 作者单位： | [1]中国工程物理研究院工学院，四川绵阳621900 [2]中国工程物理研究院物资部，四川绵阳621900 |
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| 基金项目： | This work was supported by the Science & technology Funds of CAEP under Grand No，20000329and20010668， |
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| 摘 要： | 利用模糊神经网络直接从实验数据中提取规则，进行材料性能建模与预测，作为应用示例，建立了基本成分和组织参数的灰铁预测模型。与多元统计分析、模糊回归和广义回归网络所得的结果相比，该方法所得的模型具有学习精度高，且具有更好的泛化能力。
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| 关 键 词： | 模糊神经网络 广义回归网络 预测模型 灰铸铁 材料性能 建模 |
| 文章编号： | 1671-0924(2001)05-0005-06 |
Modeling of Fuzzy Neural Network for Material Properties |
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| WANG Yong-qiang ,XIA Bo-cai ,DONG Jie.Modeling of Fuzzy Neural Network for Material Properties[J].Journal of Chongqing Institute of Technology,2001,15(5):5-10. |
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| Authors: | WANG Yong-qiang XIA Bo-cai DONG Jie |
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| Affiliation: | WANG Yong-qiang 1,XIA Bo-cai 1,DONG Jie 2 |
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| Abstract: | A fuzzy neural metwork is developed to extaract fuzzy rules directly from experimental data for material property modeling.As an application example,a model based on compositions and microstructures is developed to predict strength of gray iron.Comparing with the results obtained by multiple statistic analysis,fuzzy regression and generalized regerssion neural network,the fuzzy neural network show good learning precision and generalization. |
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| Keywords: | fuzzy neural network generalized regression network predicting model gray iron |
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