| 基于改进BP网络的染色合格率预测 |
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| 引用本文： | 李清华,张美凤.基于改进BP网络的染色合格率预测[J].微计算机信息,2006(12):93-95. |
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| 作者姓名： | 李清华 张美凤 |
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| 作者单位： | 200072,上海大学机电工程与自动化学院 |
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| 摘 要： | 由于多种因素对染色质量的影响是非线性的,本文在分析影响染色质量因素的基础上,提出了基于BP神经网络的染色合格率预测模型。针对传统BP算法的缺陷,本文采用L-M算法改进BP网络。仿真结果表明,利用该模型预测染色合格率是比较准确而且有效的。
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| 关 键 词： | 染色合格率 L-M算法 改进BP网络 预测 |
| 文章编号： | 1008-0570(2006)04-3-0093-03 |
| 修稿时间： | 2005年8月12日 |
Prediction of Eligibility Rate of Dye Based on Improved BP Neural Network |
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| Li,Qinghua,Zhang,Meifeng.Prediction of Eligibility Rate of Dye Based on Improved BP Neural Network[J].Control & Automation,2006(12):93-95. |
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| Authors: | Li Qinghua Zhang Meifeng |
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| Abstract: | Because many factors influence the quality of day nonlinearly, this paper presents a BP neural network model to predict the eligibility rate of dye. It analyses the factors of influencing the quality of dye, and gives the predictition model. Aiming at the shortage of the conventional BP algorithm,the BP neural network improved by L- M algorithm is put forward.The simulation result in- dicates that the model can predict the eligibility rate of dye exactly and effectively. |
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| Keywords: | eligibility rate of dye L- M algorithm improved BP neural network prediction |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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