A genetic algorithm to obtain the optimal recurrent neural network. - Armando Blanco; Miguel Delgado 001; Maria del Carmen Pegalajar Jiménez (Int. J. Approx. Reason., 2000)

Extracting rules from a (fuzzy/crisp) recurrent neural network using a self-organizing map. - Armando Blanco; Miguel Delgado 001; Maria del Carmen Pegalajar (Int. J. Intell. Syst., 2000)

Speech Recognition Using Fuzzy Second-Order Recurrent Neural Networks. - Armando Blanco; Miguel Delgado 001; Maria del Carmen Pegalajar Jiménez; Ignacio Requena (IWANN (1), 2001)

Identification of fuzzy dynamic systems using Max-Min recurrent neural networks. - Armando Blanco; Miguel Delgado 001; Maria del Carmen Pegalajar Jiménez (Fuzzy Sets Syst., 2001)

Fuzzy automaton induction using neural network. - Armando Blanco; Miguel Delgado 001; Maria del Carmen Pegalajar Jiménez (Int. J. Approx. Reason., 2001)

A real-coded genetic algorithm for training recurrent neural networks. - Armando Blanco; Miguel Delgado 001; Maria del Carmen Pegalajar Jiménez (Neural Networks, 2001)

An Adaptable Time-Delay Neural Network to Predict the Spanish Economic Indebtedness. - Manuel P. Cuéllar; Waldo Fajardo; Maria del Carmen Pegalajar Jiménez; Ramón Pérez-Pérez; M. Angeles Gonzales Navarro (ICEIS (2), 2004)

A Comparative Study of Evolutionary Algorithms for Training Elman Recurrent Neural Networks to Predict Autonomous Indebtedness. - Manuel P. Cuéllar; A. Navarro; Maria del Carmen Pegalajar Jiménez; Ramón Pérez-Pérez (ICEIS (2), 2004)

An Application of Non-Linear Programming to Train Recurrent Neural Networks in Time Series Prediction Problems. - Manuel P. Cuéllar; Miguel Delgado 001; Maria del Carmen Pegalajar Jiménez (ICEIS (2), 2005)

A multiobjective genetic algorithm for obtaining the optimal size of a recurrent neural network for grammatical inference. - Miguel Delgado 001; Maria del Carmen Pegalajar Jiménez (Pattern Recognit., 2005)

Memetic evolutionary training for recurrent neural networks: an application to time-series prediction. - Miguel Delgado 001; Maria del Carmen Pegalajar Jiménez; Manuel P. Cuéllar (Expert Syst. J. Knowl. Eng., 2006)

Problems and Features of Evolutionary Algorithms to Build Hybrid Training Methods for Recurrent Neural Networks. - Manuel P. Cuéllar; Miguel Delgado 001; Maria del Carmen Pegalajar Jiménez (ICEIS (2), 2007)

Topology Optimization and Training of Recurrent Neural Networks with Pareto-Based Multi-objective Algorithms: A Experimental Study. - Manuel P. Cuéllar; Miguel Delgado 001; Maria del Carmen Pegalajar Jiménez (IWANN, 2007)

Multiobjective Hybrid Optimization and Training of Recurrent Neural Networks. - Miguel Delgado 001; Manuel P. Cuéllar; Maria del Carmen Pegalajar Jiménez (IEEE Trans. Syst. Man Cybern. Part B, 2008)

Multi-Objective Training of Neural Networks. - Manuel P. Cuéllar; Miguel Delgado 001; Maria del Carmen Pegalajar Jiménez (Encyclopedia of Artificial Intelligence, 2009)

A common framework for information sharing in e-learning management systems. - Manuel P. Cuéllar; Miguel Delgado 001; Maria del Carmen Pegalajar Jiménez (Expert Syst. Appl., 2011)

Improving learning management through semantic web and social networks in e-learning environments. - Manuel P. Cuéllar; Miguel Delgado 001; Maria del Carmen Pegalajar Jiménez (Expert Syst. Appl., 2011)

A Compact Optical Instrument with Artificial Neural Network for pH Determination. - Sonia Capel-Cuevas; Nuria López-Ruiz; Antonio Martínez-Olmos; Manuel P. Cuéllar; Maria del Carmen Pegalajar Jiménez; Alberto J. Palma; Ignacio de Orbe-Payá; Luis F. Capitán-Vallvey (Sensors, 2012)

Design and implementation of intelligent systems with LEGO Mindstorms for undergraduate computer engineers. - Manuel P. Cuéllar; Maria del Carmen Pegalajar (Comput. Appl. Eng. Educ., 2014)

Experimental Evaluation of Straight Line Programs for Hydrological Modelling with Exogenous Variables. - Ramón Rueda Delgado; Luis Gonzaga Baca Ruiz; Patricia Jimeno-Sáez; Manuel Pegalajar Cuéllar; David Pulido-Velazquez; Maria del Carmen Pegalajar (HAIS, 2017)

Preliminary Evaluation of Symbolic Regression Methods for Energy Consumption Modelling. - Ramón Rueda Delgado; Manuel P. Cuéllar; Miguel Delgado 001; Maria del Carmen Pegalajar (ICPRAM, 2017)

A Comparison Between NARX Neural Networks and Symbolic Regression: An Application for Energy Consumption Forecasting. - Ramón Rueda Delgado; Luis G. Baca Ruíz; Manuel Pegalajar Cuéllar; Miguel Delgado Calvo-Flores; Maria del Carmen Pegalajar Jiménez (IPMU (3), 2018)

Artificial Neural Networks and Fuzzy Logic for Specifying the Color of an Image Using Munsell Soil-Color Charts. - Maria del Carmen Pegalajar; Manuel Sánchez-Marañón; Luis G. Baca Ruíz; Luis Mansilla; Miguel Delgado 001 (IPMU (1), 2018)

Personality Determination of an Individual Through Neural Networks. - J. R. Sanchez; Manuel I. Capel; Celina Jiménez; Gonzalo Rodriguez-Fraile; Maria del Carmen Pegalajar (IPMU (1), 2018)

Energy consumption forecasting based on Elman neural networks with evolutive optimization. - Luis Gonzaga Baca Ruiz; Ramón Rueda Delgado; Manuel P. Cuéllar; Maria del Carmen Pegalajar (Expert Syst. Appl., 2018)

Straight line programs for energy consumption modelling. - Ramón Rueda Delgado; Manuel P. Cuéllar; Maria del Carmen Pegalajar; M. Delgado (Appl. Soft Comput., 2019)

Quality of Service in Cloud Computing Environments with Multitenant DBMS. - Manuel I. Capel; Oscar I. Aporta; Maria del Carmen Pegalajar Jiménez (CLOSER, 2020)

A time-series clustering methodology for knowledge extraction in energy consumption data. - Luis Gonzaga Baca Ruiz; Maria del Carmen Pegalajar Jiménez; Rossella Arcucci; Miguel Molina-Solana (Expert Syst. Appl., 2020)

A Munsell colour-based approach for soil classification using Fuzzy Logic and Artificial Neural Networks. - Maria del Carmen Pegalajar; Luis G. Baca Ruíz; Manuel Sánchez-Marañón; Luis Mansilla (Fuzzy Sets Syst., 2020)

An Ant Colony Optimization approach for symbolic regression using Straight Line Programs. Application to energy consumption modelling. - Ramón Rueda Delgado; Luis G. Baca Ruíz; Manuel P. Cuéllar; Maria del Carmen Pegalajar Jiménez (Int. J. Approx. Reason., 2020)

A Three-valued Logic Approach for Edge Detection Using Cellular Automata. - Manuel P. Cuéllar; Ramón Rueda Delgado; Luis Gonzaga Baca Ruiz; Maria del Carmen Pegalajar (J. Cell. Autom., 2021)

A similarity measure for Straight Line Programs and its application to control diversity in Genetic Programming. - Ramón Rueda Delgado; Manuel P. Cuéllar; Luis G. Baca Ruíz; Maria del Carmen Pegalajar (Expert Syst. Appl., 2022)

Time Series Forecasting with Quantum Neural Networks. - Manuel P. Cuéllar; Maria del Carmen Pegalajar; Luis G. Baca Ruíz; Carlos Cano Gutierrez (IWANN (1), 2023)

An Improved Pattern Sequence-Based Energy Load Forecast Algorithm Based on Self-Organizing Maps and Artificial Neural Networks. - David Criado-Ramón; Luis G. Baca Ruíz; Maria del Carmen Pegalajar (Big Data Cogn. Comput., 2023)

An Intelligent Approach Using Machine Learning Techniques to Predict Flow in People. - Maria del Carmen Pegalajar; Luis G. Baca Ruíz; Elena Pérez-Moreiras; J. Boada-Grau; María José Serrano-Fernandez (Big Data Cogn. Comput., 2023)

Application of Fuzzy and Conventional Forecasting Techniques to Predict Energy Consumption in Buildings. - A. Cabrera; Luis G. Baca Ruíz; David Criado-Ramón; C. D. Barranco; Maria del Carmen Pegalajar (Int. J. Intell. Syst., 2023)

Artificial Intelligence-Based Prediction of Spanish Energy Pricing and Its Impact on Electric Consumption. - Marcos Hernández Rodríguez; Luis Gonzaga Baca Ruiz; David Criado-Ramón; Maria del Carmen Pegalajar Jiménez (Mach. Learn. Knowl. Extr., 2023)

Application of classical and advanced machine learning models to predict personality on social media. - Pablo Sánchez-Fernández; Luis Gonzaga Baca Ruiz; Maria del Carmen Pegalajar Jiménez (Expert Syst. Appl., 2023)

Assessing the impact of soiling on photovoltaic efficiency using supervised learning techniques. - Luiza Araujo Costa Silva; Luis Gonzaga Baca Ruiz; David Criado-Ramón; Joao Gabriel Bessa; Leonardo Micheli; Maria del Carmen Pegalajar Jiménez (Expert Syst. Appl., 2023)

A GPU-accelerated adaptation of the PSO algorithm for multi-objective optimization applied to artificial neural networks to predict energy consumption. - J. R. S. Iruela; Luis G. Baca Ruíz; David Criado-Ramón; Maria del Carmen Pegalajar; Manuel I. Capel (Appl. Soft Comput., 2024)

A Novel Non-Intrusive Load Monitoring Algorithm for Unsupervised Disaggregation of Household Appliances. - David Criado-Ramón; Luis G. Baca Ruíz; J. R. S. Iruela; Maria del Carmen Pegalajar (Inf., 2024)

An Application of Fuzzy Symbolic Time-Series for Energy Demand Forecasting. - David Criado-Ramón; Luis G. Baca Ruíz; Maria del Carmen Pegalajar (Int. J. Fuzzy Syst., 2024)

Automatic evolutionary design of quantum rule-based systems and applications to quantum reinforcement learning. - Manuel P. Cuéllar; Maria del Carmen Pegalajar; C. Cano (Quantum Inf. Process., 2024)

Study of violence against women and its characteristics through the application of text mining techniques. - E. M. A. Stephanie; Luis G. Baca Ruíz; Maria-Amparo Vila; Maria del Carmen Pegalajar (Int. J. Data Sci. Anal., 2024)

A parallel approach to accelerate neural network hyperparameter selection for energy forecasting. - David Criado-Ramón; Luis G. Baca Ruíz; Maria del Carmen Pegalajar (Expert Syst. Appl., 2025)

Exploring emotional stability: from conventional approaches to machine learning insights. - Marcos Romero Madroñal; Eduar S. Ramírez; Luis Gonzaga Baca Ruiz; María José Serrano-Fernandez; Elena Pérez-Moreiras; Maria del Carmen Pegalajar Jiménez (Appl. Intell., 2025)