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Published in: Cluster Computing 2/2019

24-02-2018

Construction of employee training program evaluation system of three exponential forecast based on sliding window

Author: Guo Meng

Published in: Cluster Computing | Special Issue 2/2019

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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.

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Metadata
Title
Construction of employee training program evaluation system of three exponential forecast based on sliding window
Author
Guo Meng
Publication date
24-02-2018
Publisher
Springer US
Published in
Cluster Computing / Issue Special Issue 2/2019
Print ISSN: 1386-7857
Electronic ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-018-2252-6

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