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Machine Learning Based Key Performance Index Prediction Methods in Internet of Industry

  • Haowei Li
  • , Liming Zheng
  • , Yue Wu*
  • , Gang Wang
  • *Corresponding author for this work
  • Harbin Institute of Technology
  • School of Management, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationMachine Learning and Intelligent Communications - Second International Conference, MLICOM 2017, Proceedings
EditorsBo Li, Xuemai Gu, Gongliang Liu
PublisherSpringer Verlag
Pages490-497
Number of pages8
ISBN (Print)9783319734460
DOIs
StatePublished - 2018
Externally publishedYes
Event2nd International Conference on Machine Learning and Intelligent Communications, MLICOM 2017 - Weihai, China
Duration: 5 Aug 20176 Aug 2017

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume227 LNICST
ISSN (Print)1867-8211

Conference

Conference2nd International Conference on Machine Learning and Intelligent Communications, MLICOM 2017
Country/TerritoryChina
CityWeihai
Period5/08/176/08/17

Keywords

  • Industry intelligent
  • Internet of industry
  • Machine learning
  • Neural network
  • Predication

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