Maria del Carmen Pegalajar Jiménez

Orcid: 0000-0001-9408-6770

According to our database1, Maria del Carmen Pegalajar Jiménez authored at least 40 papers between 2000 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
An Application of Fuzzy Symbolic Time-Series for Energy Demand Forecasting.
Int. J. Fuzzy Syst., April, 2024

A Novel Non-Intrusive Load Monitoring Algorithm for Unsupervised Disaggregation of Household Appliances.
Inf., February, 2024

2023
Assessing the impact of soiling on photovoltaic efficiency using supervised learning techniques.
Expert Syst. Appl., November, 2023

Application of classical and advanced machine learning models to predict personality on social media.
Expert Syst. Appl., April, 2023

Artificial Intelligence-Based Prediction of Spanish Energy Pricing and Its Impact on Electric Consumption.
Mach. Learn. Knowl. Extr., March, 2023

An Intelligent Approach Using Machine Learning Techniques to Predict Flow in People.
Big Data Cogn. Comput., 2023

An Improved Pattern Sequence-Based Energy Load Forecast Algorithm Based on Self-Organizing Maps and Artificial Neural Networks.
Big Data Cogn. Comput., 2023

Time Series Forecasting with Quantum Neural Networks.
Proceedings of the Advances in Computational Intelligence, 2023

2022
A similarity measure for Straight Line Programs and its application to control diversity in Genetic Programming.
Expert Syst. Appl., 2022

2021
A Three-valued Logic Approach for Edge Detection Using Cellular Automata.
J. Cell. Autom., 2021

2020
An Ant Colony Optimization approach for symbolic regression using Straight Line Programs. Application to energy consumption modelling.
Int. J. Approx. Reason., 2020

A Munsell colour-based approach for soil classification using Fuzzy Logic and Artificial Neural Networks.
Fuzzy Sets Syst., 2020

A time-series clustering methodology for knowledge extraction in energy consumption data.
Expert Syst. Appl., 2020

Quality of Service in Cloud Computing Environments with Multitenant DBMS.
Proceedings of the 10th International Conference on Cloud Computing and Services Science, 2020

2019
Straight line programs for energy consumption modelling.
Appl. Soft Comput., 2019

2018
Energy consumption forecasting based on Elman neural networks with evolutive optimization.
Expert Syst. Appl., 2018

Personality Determination of an Individual Through Neural Networks.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations, 2018

Artificial Neural Networks and Fuzzy Logic for Specifying the Color of an Image Using Munsell Soil-Color Charts.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations, 2018

A Comparison Between NARX Neural Networks and Symbolic Regression: An Application for Energy Consumption Forecasting.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications, 2018

2017
Preliminary Evaluation of Symbolic Regression Methods for Energy Consumption Modelling.
Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017

Experimental Evaluation of Straight Line Programs for Hydrological Modelling with Exogenous Variables.
Proceedings of the Hybrid Artificial Intelligent Systems - 12th International Conference, 2017

2014
Design and implementation of intelligent systems with LEGO Mindstorms for undergraduate computer engineers.
Comput. Appl. Eng. Educ., 2014

2012
A Compact Optical Instrument with Artificial Neural Network for pH Determination.
Sensors, 2012

2011
Improving learning management through semantic web and social networks in e-learning environments.
Expert Syst. Appl., 2011

A common framework for information sharing in e-learning management systems.
Expert Syst. Appl., 2011

2009
Multi-Objective Training of Neural Networks.
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009

2008
Multiobjective Hybrid Optimization and Training of Recurrent Neural Networks.
IEEE Trans. Syst. Man Cybern. Part B, 2008

2007
Topology Optimization and Training of Recurrent Neural Networks with Pareto-Based Multi-objective Algorithms: A Experimental Study.
Proceedings of the Computational and Ambient Intelligence, 2007

Problems and Features of Evolutionary Algorithms to Build Hybrid Training Methods for Recurrent Neural Networks.
Proceedings of the ICEIS 2007, 2007

2006
Memetic evolutionary training for recurrent neural networks: an application to time-series prediction.
Expert Syst. J. Knowl. Eng., 2006

2005
A multiobjective genetic algorithm for obtaining the optimal size of a recurrent neural network for grammatical inference.
Pattern Recognit., 2005

An Application of Non-Linear Programming to Train Recurrent Neural Networks in Time Series Prediction Problems.
Proceedings of the ICEIS 2005, 2005

2004
A Comparative Study of Evolutionary Algorithms for Training Elman Recurrent Neural Networks to Predict Autonomous Indebtedness.
Proceedings of the ICEIS 2004, 2004

An Adaptable Time-Delay Neural Network to Predict the Spanish Economic Indebtedness.
Proceedings of the ICEIS 2004, 2004

2001
A real-coded genetic algorithm for training recurrent neural networks.
Neural Networks, 2001

Fuzzy automaton induction using neural network.
Int. J. Approx. Reason., 2001

Identification of fuzzy dynamic systems using Max-Min recurrent neural networks.
Fuzzy Sets Syst., 2001

Speech Recognition Using Fuzzy Second-Order Recurrent Neural Networks.
Proceedings of the Connectionist Models of Neurons, 2001

2000
Extracting rules from a (fuzzy/crisp) recurrent neural network using a self-organizing map.
Int. J. Intell. Syst., 2000

A genetic algorithm to obtain the optimal recurrent neural network.
Int. J. Approx. Reason., 2000


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