A manufacturing quality prediction model based on AdaBoost-LSTM with rough knowledge-Reference-Cited by-同舟云学术

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A manufacturing quality prediction model based on AdaBoost-LSTM with rough knowledge

Published:2021-05 Issue: Volume:155 Page:107227
ISSN:0360-8352
Container-title:Computers & Industrial Engineering
language:en
Short-container-title:Computers & Industrial Engineering

Author:

Bai Yun,Xie Jingjing,Wang Dongqiang,Zhang Wanjuan,Li Chuan

Funder

Chongqing Natural Science Foundation

China Scholarship Council

Chongqing Technology and Business University

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference51 articles.

1. Manufacturing quality prediction using intelligent learning approaches: A comparison study;Bai;Sustainability,2018

2. A comparison of dimension reduction techniques for support vector machine modeling of multi-parameter manufacturing quality prediction;Bai;Journal of Intelligent Manufacturing,2019

3. Hybrid of two heuristic optimizations with LSSVM to predict refractive index as asphaltene stability identifier;Chamkalani;Journal of Dispersion Science and Technology,2014

4. Robust modelling and prediction of thermally induced positional error based on grey rough set theory and neural networks;Cheng;International Journal of Advanced Manufacturing Technology,2016

5. Multi-scale fuzzy inference system for influent characteristics prediction of wastewater treatment;Cheng;CLEAN-Soil, Air, Water,2018

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