Intelligent Optimization Algorithm for Employee Performance Appraisal of Internet Companies Based on Time Series Model

Therefore, this study adopts the time series decomposition model, by decomposing the time series into seasonal terms and trend terms, and using the original first-order and second-order adaptive coefficient prediction methods for the trend terms and the first-order and second-order autonomic methods...

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Bibliographic Details
Published in:International Conference on Intelligent Computing and Control Systems (Online) pp. 196 - 199
Main Author: Kuang, Huixia
Format: Conference Proceeding
Language:English
Published: IEEE 25.05.2022
Subjects:
Adaptation models
Data models
Employee Performance Appraisal
Intelligent Optimization Algorithm
Internet Companies
Prediction algorithms
Predictive models
Smoothing methods
Time series analysis
Time Series Model
ISSN:2768-5330
Online Access:Get full text
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Summary:Therefore, this study adopts the time series decomposition model, by decomposing the time series into seasonal terms and trend terms, and using the original first-order and second-order adaptive coefficient prediction methods for the trend terms and the first-order and second-order autonomic methods of particle swarm optimization. Adaptation coefficient prediction method, an exponential smoothing prediction model based on time series decomposition mode and particle swarm optimization algorithm is proposed., assessment subject, assessment process, etc., purposefully propose optimization countermeasures and algorithms.
ISSN:2768-5330
DOI:10.1109/ICICCS53718.2022.9788454