| 遗传神经网络在近红外光谱煤质分析中的应用研究 |
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| 引用本文： | 雷萌,李明,徐志彬.遗传神经网络在近红外光谱煤质分析中的应用研究[J].工矿自动化,2010,36(2). |
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| 作者姓名： | 雷萌 李明 徐志彬 |
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| 作者单位： | 1. 中国矿业大学信电学院,江苏,徐州,221008
2. 河北出入境检验检疫局京唐港办事处,河北,唐山,063611 |
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| 摘 要： | 针对BP神经网络收敛速度慢及容易陷入局部最优解的缺点,结合遗传算法全局搜索的特点,提出了一种基于遗传算法和BP神经网络建立近红外光谱煤质分析模型的方法;并利用主成分分析法提取煤炭样品的主成分值,有效地压缩了数据。实验对比了BP模型与GA-BP模型,结果表明,GA-BP模型能有效地减小测试集的预测值与真实值之间的误差平方和,相关系数也得到了提高,有效地提高了预测精度和分析速度。
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| 关 键 词： | 煤质分析 近红外光谱 主成分分析 BP神经网络 遗传算法 |
Application of Genetic Neural Network in Coal Quality Analysis with Near-infrared Spectroscopy |
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| LEI Meng,LI Ming,XU Zhi-bin.Application of Genetic Neural Network in Coal Quality Analysis with Near-infrared Spectroscopy[J].Industry and Automation,2010,36(2). |
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| Authors: | LEI Meng LI Ming XU Zhi-bin |
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| Affiliation: | 1.School of Information and Electrical Engineering of CUMT./a>;Xuzhou 221008/a>;China.2.Jingtanggang Office of Hebei Entry-Exit Inspection and Quarantine Bureau/a>;Tangshan/a>;063611/a>;China |
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| Abstract: | In view of the shortcomings of BP neural network,such as slow convergence,easily falling into local optimums,the paper put forward a method of establishment of model of coal quality analysis with near-infrared spectroscopy based on GA-BP neural network and characteristics of global searching method of neural network.The principal component analysis(PCA) was used to get principal component values and to compress data.The results of traditional BP neural network model and GA-BP model were compared,and the res... |
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| Keywords: | coal quality analysis near-infrared spectroscopy principal component analysis BP neural network genetic algorithm |
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