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Application of grey theory in the correction of the identification parameters of the prediction model of dynamic measurement errors

机译:灰色理论在动态测量误差预测模型校正参数校正中的应用

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In this paper, on the basis of modern error-correction technology the short-term prediction model of dynamic measurement errors is researched by grey-system theory This paper is emphasized on the problem of the identification and correction of the model's parameters. Furthermore, a long gating measuring system is taken as the object, and it's dynamic measuring errors as the practical data. The correcting methods of identification parameters that affect the accuracy of the model during predicting are discussed, thus, the measurement accuracy is improved. Key words: modem technology of error correction, Grey-model of error prediction, the correction of identification parameters of the model, combined model.
机译:本文在现代误差校正技术的基础上,通过灰色系统理论研究了动态测量误差的短期预测模型本文强调了模型参数的识别和校正的问题。此外,将长选通测量系统作为对象,并且它是动态测量误差作为实际数据。讨论了在预测期间影响模型精度的校正参数的校正方法,因此,提高了测量精度。关键词:调制解调器技术的纠错,灰色模型误差预测,校正模型识别参数,组合模型。

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