Nonlinear prediction of manufacturing systems through explicit and implicit data mining-Reference-Cited by-同舟云学术

Nonlinear prediction of manufacturing systems through explicit and implicit data mining

Published:1997-12 Issue:3-4 Volume:33 Page:461-464
ISSN:0360-8352
Container-title:Computers & Industrial Engineering
language:en
Short-container-title:Computers & Industrial Engineering

Author:

Kim Steven H.,Lee Churl Min

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference7 articles.

1. Deployment of Robotic Agents in Uncertain Environments: Game Theoretic Rules and Simulation Studies;Egilmez;Artif.Intel. for Engineering Design, Analysis and Manufacturing,1992

2. Automated Learning and Creativity through Knowledge Integration;Kim,1993

3. Knowledge Based Prediction of Nonlinear Phenomena;Kim,1995

4. Kim, S. H. and Lee, C. M. “Advanced Manufacturing Systems through Explicit and Implicit Learning.” Work paper, Graduate School of Management, KAIST, Seoul, Korea.

5. Using Clustering Techniques to Support Case Reasoning;Kim;Int. J. of Computer Applications in Technology,1993

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