Self-Adaptive Genetic Programming for Manufacturing Big Data Analysis

Self-Adaptive Genetic Programming for Manufacturing Big Data Analysis

While black-box-based machine learning algorithms have high analytical consistency in manufacturing big data analysis, those algorithms experience difficulties in interpreting the results based on the manufacturing process principle. To overcome this limitation, we present a Self-Adaptive Genetic Pr...

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Bibliographic Details
Main Authors: Sanghoun Oh, Woong-Hyun Suh, Chang-Wook Ahn
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Symmetry
Subjects:
manufacturing big data analysis
genetic programming
self-adaptive genetic programming
Online Access:https://www.mdpi.com/2073-8994/13/4/709

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