| Energy consumption forecasting based on Elman neural networks with evolutive optimization LGB Ruiz, R Rueda, MP Cuéllar, MC Pegalajar Expert Systems with Applications 92, 380-389, 2018 | 100 | 2018 |
| Multiobjective hybrid optimization and training of recurrent neural networks M Delgado, MP Cuellar, MC Pegalajar IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 38 …, 2008 | 67 | 2008 |
| Improving learning management through semantic web and social networks in e-learning environments MP Cuéllar, M Delgado, MC Pegalajar Expert systems with applications 38 (4), 4181-4189, 2011 | 63 | 2011 |
| Full-range optical pH sensor based on imaging techniques S Capel-Cuevas, MP Cuéllar, I de Orbe-Payá, MC Pegalajar, ... Analytica chimica acta 681 (1-2), 71-81, 2010 | 57 | 2010 |
| A common framework for information sharing in e-learning management systems MP Cuéllar, M Delgado, MC Pegalajar Expert Systems with Applications 38 (3), 2260-2270, 2011 | 47 | 2011 |
| Design and implementation of intelligent systems with LEGO Mindstorms for undergraduate computer engineers MP Cuéllar, MC Pegalajar Computer Applications in Engineering Education 22 (1), 153-166, 2014 | 46 | 2014 |
| Full-range optical pH sensor array based on neural networks S Capel-Cuevas, MP Cuéllar, I de Orbe-Payá, MC Pegalajar, ... Microchemical Journal 97 (2), 225-233, 2011 | 43 | 2011 |
| Linguistic summarization of long-term trends for understanding change in human behavior M Ros, M Pegalajar, M Delgado, A Vila, DT Anderson, JM Keller, ... 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), 2080-2087, 2011 | 42 | 2011 |
| Printed disposable colorimetric array for metal ion discrimination M Ariza-Avidad, A Salinas-Castillo, MP Cuellar, M Agudo-Acemel, ... Analytical chemistry 86 (17), 8634-8641, 2014 | 32 | 2014 |
| Memetic evolutionary training for recurrent neural networks: an application to time‐series prediction M Delgado, MC Pegalajar, MP Cuéllar Expert Systems 23 (2), 99-115, 2006 | 31 | 2006 |
| An application of non-linear programming to train recurrent neural networks in time series prediction problems MP Cuéllar, M Delgado, MC Pegalajar Enterprise information systems VII, 95-102, 2007 | 30 | 2007 |
| Thermochromic sensor design based on Fe (II) spin crossover/polymers hybrid materials and artificial neural networks as a tool in modelling MP Cuéllar, A Lapresta-Fernández, JM Herrera, A Salinas-Castillo, ... Sensors and Actuators B: Chemical 208, 180-187, 2015 | 28 | 2015 |
| Particle tuning and modulation of the magnetic/colour synergy in Fe(ii) spin crossover-polymer nanocomposites in a thermochromic sensor array A Lapresta-Fernández, MP Cuéllar, JM Herrera, E Colacio, ... Journal of Materials Chemistry C 2 (35), 401-414, 2014 | 25 | 2014 |
| Feasibility of the use of disposable optical tongue based on neural networks for heavy metal identification and determination M Ariza-Avidad, MP Cuellar, A Salinas-Castillo, MC Pegalajar, J Vuković, ... Analytica chimica acta 783, 56-64, 2013 | 25 | 2013 |
| A compact optical instrument with artificial neural network for pH determination S Capel-Cuevas, N López-Ruiz, A Martinez-Olmos, MP Cuéllar, ... Sensors 12 (5), 6746-6763, 2012 | 14 | 2012 |
| Disposable optical tongue for alkaline ion analysis MM Erenas, MC Pegalajar, MP Cuellar, I de Orbe-Paya, ... Sensors and Actuators B: Chemical 156 (2), 976-982, 2011 | 14 | 2011 |
| Parallel memetic algorithm for training recurrent neural networks for the energy efficiency problem LGB Ruíz, MI Capel, MC Pegalajar Applied Soft Computing 76, 356-368, 2019 | 13 | 2019 |
| A surface fit approach with a disposable optical tongue for alkaline ion analysis MM Erenas, O Piñeiro, MC Pegalajar, MP Cuellar, I de Orbe-Payá, ... Analytica chimica acta 694 (1-2), 128-135, 2011 | 10 | 2011 |
| Topology optimization and training of recurrent neural networks with Pareto-based multi-objective algorithms: A experimental study MP Cuéllar, M Delgado, MC Pegalajar International Work-Conference on Artificial Neural Networks, 359-366, 2007 | 10 | 2007 |
| Evolutionary training for Dynamical Recurrent Neural Networks: an application in finantial time series prediction. M Delgado, MC Pegalajar, MP Cuéllar Mathware and Soft Computing 13 (2), 89-110, 2006 | 10 | 2006 |
