| 基于BP神经网络的国毛毛条质量预测模型 |
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| 引用本文： | 张一心,刘翠霞. 基于BP神经网络的国毛毛条质量预测模型[J]. 毛纺科技, 2004, 0(12): 9-13 |
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| 作者姓名： | 张一心 刘翠霞 |
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| 作者单位： | 西安工程科技学院,陕西,西安,710048;西安工程科技学院,陕西,西安,710048 |
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| 基金项目： | 国家科技创新项目"毛条制造与纺纱加工过程的质量预测与控制",2003 3～2003 6,国家经贸委。 |
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| 摘 要： | 采用BP神经网络预测技术建立少于3层的国毛毛条加工质量预测模型,利用贝叶斯判别规则提高网络的学习能力,通过实验对比选出最优隐层神经元数。模型预测结果表明,用神经网络方法预测毛条加工性能与实际结果有相当高的一致性。
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| 关 键 词： | BP神经网络 毛条 预测模型 |
| 文章编号： | 1003-1456(2004)12-0009-05 |
Model based on BP neural network to predict domestic-top quality in processing |
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| ZHANG Yi-xin,LIU Cui-xia. Model based on BP neural network to predict domestic-top quality in processing[J]. Wool Textile Journal, 2004, 0(12): 9-13 |
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| Authors: | ZHANG Yi-xin LIU Cui-xia |
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| Abstract: | This paper adopts BP neural network predicting technology to set up the model on predicting domestic-top quality in processing,which is less than three layers.It uses Bayesian regularization to improve network's study ability.By contrast in test,the proper number of latent nerve cell is selected.The result of model shows that the method of using neural network to predict top's processing performance is consistent with the real result. |
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| Keywords: | BP neural network top predicting model |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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