MIGUEL DELGADO CALVO-FLORES-rekin lankidetzan egindako argitalpenak (31)

2019

  1. Straight line programs for energy consumption modelling

    Applied Soft Computing Journal, Vol. 80, pp. 310-328

2018

  1. A comparison between NARX neural networks and symbolic regression: An application for energy consumption forecasting

    Communications in Computer and Information Science

  2. 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

  3. 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

  1. 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

  1. An Application of Non-Linear Autoregressive Neural Networks to Predict Energy Consumption in Public Buildings

    Energies, Vol. 9, Núm. 9

2011

  1. A common framework for information sharing in e-learning management systems

    Expert Systems with Applications, Vol. 38, Núm. 3, pp. 2260-2270

  2. 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

  1. 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

  1. Algoritmos multi-objeto híbridos para entrenamiento y optimización de modelos neuronales recurrentes dinámicos

    Actas del V Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados

  2. Identificación de dependencias temporales entre datos mediante algoritmos Multi-Objetivo y redes RBF

    Actas del V Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados

  3. 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

  4. 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

  1. 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

  2. Memetic evolutionary training for recurrent neural networks: An application to time-series prediction

    Expert Systems, Vol. 23, Núm. 2, pp. 99-115

2005

  1. 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

  2. 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

  3. Multiobjetive evolutionary optimization for elman recurrent neural networks, applied to time series prediction

    Fuzzy economic review, Vol. 10, Núm. 1, pp. 17-33

2004

  1. 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

  1. 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