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Título: | MIGA, a software tool for nonlinear system modelling with modular neural networks |
Autor: | Morcego, Bernardo; Fuertes Armengol, Jose Mª; Cembrano, Gabriela CSIC ORCID | Palabras clave: | Dynamic system modelling Modular neural networks Software tools Knowledge acquisition Control theory |
Fecha de publicación: | 2004 | Editor: | Kluwer Academic Publishers | Citación: | Applied Intelligence, 20(1): 37-45 (2004) | Resumen: | This paper presents a software tool suitable for dynamic system modelling. The models generated by this tool are modular neural networks. Each module behaves like a functional block and is connected to the other modules like in classical block diagrams. This tool allows the inclusion of a priori knowledge and, furthermore, to extract physical information from the models, once the system has learned. The modelling tool is capable of automatic model generation, parameter estimation and model validation. | Versión del editor: | http://dx.doi.org/10.1023/B:APIN.0000011140.39317.ab | URI: | http://hdl.handle.net/10261/30558 | DOI: | 10.1023/B:APIN.0000011140.39317.ab | ISSN: | 0924-669X |
Aparece en las colecciones: | (IRII) Artículos |
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