MARÍA DEL CARMEN
PEGALAJAR JIMÉNEZ
CATEDRÁTICA DE UNIVERSIDAD
MIGUEL
DELGADO CALVO-FLORES
Investigador en el periodo 2021-2022
Publicaciones en las que colabora con MIGUEL DELGADO CALVO-FLORES (31)
2019
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Straight line programs for energy consumption modelling
Applied Soft Computing Journal, Vol. 80, pp. 310-328
2018
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A comparison between NARX neural networks and symbolic regression: An application for energy consumption forecasting
Communications in Computer and Information Science
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A comparison between NARX neural networks and symbolic regression: an application for energy consumption forecasting
Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications: 17th International Conference, IPMU 2018, Cádiz, Spain, June 11-15, 2018, Proceedings, Part III
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Artificial neural networks and fuzzy logic for specifying the color of an image using munsell soil-color charts
Communications in Computer and Information Science
2017
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Preliminary evaluation of symbolic regression methods for energy consumption modelling
ICPRAM 2017 - Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods
2016
2011
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A common framework for information sharing in e-learning management systems
Expert Systems with Applications, Vol. 38, Núm. 3, pp. 2260-2270
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Improving learning management through semantic web and social networks in e-learning environments
Expert Systems with Applications, Vol. 38, Núm. 4, pp. 4181-4189
2008
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Multiobjective hybrid optimization and training of recurrent neural networks
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, Vol. 38, Núm. 2, pp. 381-403
2007
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Algoritmos multi-objeto híbridos para entrenamiento y optimización de modelos neuronales recurrentes dinámicos
Actas del V Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados
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Identificación de dependencias temporales entre datos mediante algoritmos Multi-Objetivo y redes RBF
Actas del V Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados
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Problems and features of evolutionary algorithms to build hybrid training methods for recurrent neural networks
ICEIS 2007 - 9th International Conference on Enterprise Information Systems, Proceedings
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Topology optimization and training of recurrent neural networks with pareto-based multi-objective algorithms: A experimental study
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2006
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Evolutionary training for Dynamical Recurrent Neural Networks: an application in finantial time series prediction.
Mathware & soft computing: The Magazine of the European Society for Fuzzy Logic and Technology, Vol. 13, Núm. 2, pp. 89-110
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Memetic evolutionary training for recurrent neural networks: An application to time-series prediction
Expert Systems, Vol. 23, Núm. 2, pp. 99-115
2005
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A multiobjective genetic algorithm for obtaining the optimal size of a recurrent neural network for grammatical inference
Pattern Recognition, Vol. 38, Núm. 9, pp. 1444-1456
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An application of non-linear programming to train Recurrent Neural Networks in Time Series Prediction problems
ICEIS 2005 - Proceedings of the 7th International Conference on Enterprise Information Systems
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Multiobjetive evolutionary optimization for elman recurrent neural networks, applied to time series prediction
Fuzzy economic review, Vol. 10, Núm. 1, pp. 17-33
2004
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Técnicas de soft-computing para problemas de optimización en ambiente difuso y en ingeniería
Optimización inteligente: técnicas de inteligencia computacional para optimización (Universidad de Málaga (UMA)), pp. 453-502
2003
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Inducción de un modelo cualitativo para el endeudamiento autonómico español
Emergent solutions for the information and knowledge economy: proceedings of the Tenth International Association for Fuzzy-Set Management and Economy Congress. León, October 9-11, 2003