Publicaciones en colaboración con investigadores/as de Universidad de Jaén (12)

2017

  1. Time series forecasting using evolutionary neural nets implemented in a volunteer computing system

    Intelligent Systems in Accounting, Finance and Management, Vol. 24, Núm. 2-3, pp. 87-95

2016

  1. Web browser-based forecasting of economic time-series

    Advances in Intelligent Systems and Computing

2014

  1. Studying individualized transit indicators using a new low-cost information system

    Handbook of Research on Embedded Systems Design (IGI Global), pp. 388-407

2007

  1. Comparing evolutionary hybrid systems for design and optimization of multilayer perceptron structure along training parameters

    Information Sciences, Vol. 177, Núm. 14, pp. 2884-2905

  2. EvRBF:Evolving RBF Neural Networks for classification problems

    PROCEEDINGS OF THE 7TH WSEAS INTERNATIONAL CONFERENCE ON APPLIED INFORMATICS AND COMMUNICATIONS

2006

  1. Co-evolving multilayer perceptrons along training sets

    Advances in Soft Computing, Vol. 33, pp. 503-513

  2. Multiobjective optimization of ensembles of multilayer perceptrons for pattern classification

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2005

  1. Co-evolving multilayer perceptrons along training sets

    COMPUTATIONAL INTELLIGENCE, THEORY AND APPLICATIONS

  2. Evolutionary design of a brain-computer interface

    Lecture Notes in Computer Science

2004

  1. Evolving RBF neural networks for time-series forecasting with EvRBF

    Information Sciences, Vol. 165, Núm. 3-4, pp. 207-220

2002

  1. Optimisation of multilayer perceptrons using a distributed evolutionary algorithm with SOAP

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2000

  1. Evolutionary computation visualization: Application to G-PROP

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)