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Erschienen in:
06.01.2018
Construction of employee training program evaluation system of three exponential forecast based on sliding window
Erschienen in: Cluster Computing | Sonderheft 3/2019
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Abstract
One construction method for employee training program evaluation system of three exponential forecast based on sliding window has been proposed to improve the effectiveness of construction process for employee training program evaluation system. Firstly, construct employee training program evaluation forecast model with gray model and set up regression forecast objective function; secondly, construct sliding window by setting segmentation points and make real-time segmentation for gray model data by combining three smoothness exponential algorithm, attain real-time statistical feature of data, construct the function relation between sequence error forecast and compression ratio, make use of error forecast sequence to make segmentation point judgment and improve robustness of test. Lastly, the effectiveness of the algorithm has been verified through simulation experiment.