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Cell formation using sequence information and neural networks

 

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Opened Access Cell formation using sequence information and neural networks
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Author: Lozano Segura, Sebastián
Canca Ortiz, José David
Guerrero López, Fernando
Larrañeta Astola, Juan Carlos
Onieva, Luis
Department: Universidad de Sevilla. Departamento de Organización Industrial y Gestión de Empresas II
Universidad de Sevilla. Organización Industrial y Gestión de Empresas I
Date: 2000
Published in: 10th International Conference on Flexible Automation and Intelligent Manufacturing: Maryland, 26 al 28 de junio de 2000
ISBN/ISSN: 978-0970105301
0970105304
Document type: Presentation
Abstract: Most neural network approaches to the cell formation problem have been based on Competitive Learning-based algorithms such as ART (Adaptive Resonance Theory), Fuzzy Min- Max or Self-Organizing Feature Maps. These approaches do not use information on...
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Format: PDF

URI: http://hdl.handle.net/11441/33224

This work is under a Creative Commons License: 
Attribution-NonCommercial-NoDerivatives 4.0 Internacional

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