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Quality Analysis of Wheat Based on BP Neural Network and Near Infrared Reflectance Spectroscopy

机译:基于BP神经网络和近红外反射光谱法的小麦品质分析。

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摘要

With its quick, simple, nicety and nondestructive characteristic, MRS (Near Infrared Reflectance Spectroscopy) is a new method for quality analysis of wheat. In this paper, a new method to model-building for wheat quality analysis with NIRS is presented. Opposite near infrared parameters shield the testing accuracy from outer disturb and random factors. Local minimization is escaped, and a high convergence velocity is reached by modified BP algorithm. The experimental results indicate that a high-accuracy testing results can be get in spite of large disturb from temperature and moisture.
机译:凭借其快速,简单,美观和无损的特性,MRS(近红外反射光谱法)是一种用于小麦质量分析的新方法。本文提出了一种利用NIRS建立小麦品质分析模型的新方法。相反的近红外参数使测试精度不受外部干扰和随机因素的影响。避免了局部最小化,并通过改进的BP算法达到了较高的收敛速度。实验结果表明,尽管受到温度和湿度的较大干扰,仍可以获得高精度的测试结果。

著录项

  • 来源
  • 会议地点 Zibo(CN)
  • 作者单位

    Key Laboratory of Electronics Engineering, College of Heilongjiang Province Heilongjiang University Harbin, China;

    Key Laboratory of Electronics Engineering, College of Heilongjiang Province Heilongjiang University Harbin, China;

    Key Laboratory of Electronics Engineering, College of Heilongjiang Province Heilongjiang University Harbin, China;

    Key Laboratory of Electronics Engineering, College of Heilongjiang Province Heilongjiang University Harbin, China;

    Key Laboratory of Electronics Engineering, College of Heilongjiang Province Heilongjiang University Harbin, China;

    Inspection and Testing Center for Quality of cereals and Their Products, Ministry of Agriculture Heilongjiang Academy of Agricultural Sciences Harbin, China;

    Inspection and Testing Center for Quality of cereals and Their Products, Ministry of Agriculture Heilongjiang Academy of Agricultural Sciences Harbin, China;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 农业工程;
  • 关键词

    wheat; near infrared reflectance spectroscopy; neural network; quality analysis;

    机译:小麦;近红外反射光谱;神经网络;质量分析;

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