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    殷龙彪. 多组分红外光谱计算分析的信息论评价[J]. 华东理工大学学报(自然科学版), 1986, (3).
    引用本文: 殷龙彪. 多组分红外光谱计算分析的信息论评价[J]. 华东理工大学学报(自然科学版), 1986, (3).
    Ying Longbiao. The evaluation of multicomponent infrared spectroscopic computing analysis with information theory[J]. Journal of East China University of Science and Technology, 1986, (3).
    Citation: Ying Longbiao. The evaluation of multicomponent infrared spectroscopic computing analysis with information theory[J]. Journal of East China University of Science and Technology, 1986, (3).

    多组分红外光谱计算分析的信息论评价

    The evaluation of multicomponent infrared spectroscopic computing analysis with information theory

    • 摘要: 应用信息论可以对多组分红外光谱计算分析方法作具体评价。为此。对下列研究的方法的信息量及信息特性作了分析:最小二乘法、线性规划法、非线性规划法、修正矩阵法。研究表明,信息参数可以作为评价,选择和优化分析方法的重要判据。

       

      Abstract: Since the application of information theory may be used to do the objective evaluation of the multicomponent infrared spectroscopic computing analysts, hence, the information content and information performance of some research processes have been analyzed by the following methods. They are: the least-square method, the linear programming method, the non-linear programming method, the modified matrix method.The present approach appears it could be used as an important criterion for the evaluation, selection or optimization of analytical procedures.

       

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