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IEAAIE
1998
Springer

Soft Computing and Hybrid AI Approaches to Intelligent Manufacturing

9 years 5 months ago
Soft Computing and Hybrid AI Approaches to Intelligent Manufacturing
The application of pattern recognition (PR) techniques, artificial neural networks (ANNs), and nowadays hybrid artificial intelligence (AI) techniques in manufacturing can be regarded as consecutive elements of a process started two decades ago. The fundamental aim of the paper is to outline the importance of soft computing and hybrid AI techniques in manufacturing by introducing a genetic algorithm (GA) based dynamic job shop scheduler and the integrated use of neural, fuzzy and GA techniques for modeling, control and monitoring purposes.
Laszlo Monostori, József Hornyák, Cs
Added 05 Aug 2010
Updated 05 Aug 2010
Type Conference
Year 1998
Where IEAAIE
Authors Laszlo Monostori, József Hornyák, Csaba Egresits, Zsolt János Viharos
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