Comparison of error indicators of prediction results before and after data preprocessing.

<p>Comparison of error indicators of prediction results before and after data preprocessing.</p>

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Bibliographic Details
Main Author:	Zhen Wang (72451) (author)
Other Authors:	Erkan Topal (10932206) (author), Liangshan Shao (15411842) (author), Chen Yang (207381) (author)
Published:	2025
Subjects:	Medicine Physiology Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified related ventilation parameters inner mongolia showed different neural networks wind volume intervals tunnel air volume required air volume air volume fluctuates triangular fuzzy numbers objective optimization problem mean squares error mine safety however combined weighted root air volume prediction grey correlation method real monitoring data improve prediction accuracy single prediction method interval combined prediction air volume prediction error prediction accuracy method proposed prediction results optimization criterion interval numbers gray correlation effectively improve mine tunnels coal mine underground environment sensitivity analysis processed using preprocessed using preference coefficients monitored data l2 paradigm influencing factors final range essential features crucial phenomena consistently monitored biased measurement become unstable adaptive noise accurately measure accurate measurement
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