AI AND MACHINE LEARNING TECHNIQUES FOR MANAGING COMPLEXITY, CHANGES AND UNCERTAINTIES IN MANUFACTURING-Reference-Cited by-同舟云学术

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AI AND MACHINE LEARNING TECHNIQUES FOR MANAGING COMPLEXITY, CHANGES AND UNCERTAINTIES IN MANUFACTURING

Published:2002 Issue:1 Volume:35 Page:119-130
ISSN:1474-6670
Container-title:IFAC Proceedings Volumes
language:en
Short-container-title:IFAC Proceedings Volumes

Author:

Monostori László

Publisher

Elsevier BV

Subject

General Medicine

Reference56 articles.

1. A survey of factory control algorithms that can be implemented in a multi-agent heterarchy: dispatching, scheduling and pull;Baker;Journal of Manufacturing System,1998

2. Approaches to coupling connectionist and expert systems in intelligent manufacturing;Barschdorff;Computers in Industry,1997

3. Readings in DAI;Bond,1988

4. Hierarchy in distributed shop floor control;Bongaerts;Computers in Industry,2000

5. Analysis of sensor signals shows turning on a lathe is chaotic;Bukkapatnam;Physics Reviews E,1995

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2. Challenges and Opportunities for Deep Learning Applications in Industry 4.0;Challenges and Opportunities for Deep Learning Applications in Industry 4.0;2022-10-03

3. Dawn of new machining concepts:;Procedia CIRP;2018

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5. Development of the Product State Concept;Springer Theses;2015

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