Publicaciones en las que colabora con MANUEL PEGALAJAR CUÉLLAR (42)

2023

  1. Time Series Forecasting with Quantum Neural Networks

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

2022

  1. A similarity measure for Straight Line Programs and its application to control diversity in Genetic Programming

    Expert Systems with Applications, Vol. 194

2021

  1. Analysis and enhanced prediction of the Spanish Electricity Network through Big Data and Machine Learning techniques

    International Journal of Approximate Reasoning, Vol. 133, pp. 48-59

2020

  1. A three-valued logic approach for edge detection using cellular automata

    Journal of Cellular Automata, Vol. 15, Núm. 5-6, pp. 407-438

  2. An Ant Colony Optimization approach for symbolic regression using Straight Line Programs. Application to energy consumption modelling

    International Journal of Approximate Reasoning, Vol. 121, pp. 23-38

2019

  1. Generalised regression hypothesis induction for energy consumption forecasting

    Energies, Vol. 12, Núm. 6

  2. 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. Energy consumption forecasting based on Elman neural networks with evolutive optimization

    Expert Systems with Applications, Vol. 92, pp. 380-389

2017

  1. Experimental evaluation of straight line programs for hydrological modelling with exogenous variables

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

  2. 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

2015

  1. Programa de apoyo al diseño de la carrera profesional y a la creación de empresas innovadoras para estudiantes de ingeniería (PID 10-69) .

    Innovación docente y buenas prácticas en la Universidad de Granada. (Editorial Universidad de Granada), pp. 511-519

  2. Thermochromic sensor design based on Fe(II) spin crossover/polymers hybrid materials and artificial neural networks as a tool in modelling

    Sensors and Actuators, B: Chemical, Vol. 208, pp. 180-187

2014

  1. Design and implementation of intelligent systems with LEGO Mindstorms for undergraduate computer engineers

    Computer Applications in Engineering Education, Vol. 22, Núm. 1, pp. 153-166

  2. Particle tuning and modulation of the magnetic/colour synergy in Fe(ii) spin crossover-polymer nanocomposites in a thermochromic sensor array

    Journal of Materials Chemistry C, Vol. 2, Núm. 35, pp. 7292-7303

  3. Presens: Towards smart rehabilitation with proactive sensing for remote and automatic medical evaluation

    Proceedings of the 7th IADIS International Conference Information Systems 2014, IS 2014

  4. Printed disposable colorimetric array for metal ion discrimination

    Analytical Chemistry, Vol. 86, Núm. 17, pp. 8634-8641

2013

  1. Feasibility of the use of disposable optical tongue based on neural networks for heavy metal identification and determination

    Analytica Chimica Acta, Vol. 783, pp. 56-64