Research Article
Machine Learning Based Key Performance Index Prediction Methods in Internet of Industry
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@INPROCEEDINGS{10.1007/978-3-319-73447-7_53, author={Haowei Li and Liming Zheng and Yue Wu and Gang Wang}, title={Machine Learning Based Key Performance Index Prediction Methods in Internet of Industry}, proceedings={Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part II}, proceedings_a={MLICOM}, year={2018}, month={2}, keywords={Internet of industry Industry intelligent Machine learning Neural network Predication}, doi={10.1007/978-3-319-73447-7_53} }- Haowei Li
Liming Zheng
Yue Wu
Gang Wang
Year: 2018
Machine Learning Based Key Performance Index Prediction Methods in Internet of Industry
MLICOM
Springer
DOI: 10.1007/978-3-319-73447-7_53
Abstract
The Internet of industry (IoI) has been well advanced in modem factory accompanying with increasing application of sensor network. The industry intelligent is just basing on techniques of IoI and industry data analysis and predication. In this paper, both the training process, in which the modeling between the input of environment and technological parameters and the output of key performance index (KPI) is built, and the functional process, where the model built in training process and current is used for KPI predication. Both multivariable linear regression and nonlinear BP neural network model are employed and verified with authentic data set.
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