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PSO-PARSIMONY: A method for finding parsimonious and accurate machine learning models with particle swarm optimization. Application for predicting force-displacement curves in T-stub steel connections.

, , , , and . Neurocomputing, (2023)

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Towards Improving the Applicability of Non-parametric Multiple Comparisons to Select the Best Soft Computing Models in Rubber Extrusion Industry., , , and . SOCO-CISIS-ICEUTE, volume 239 of Advances in Intelligent Systems and Computing, page 171-180. Springer, (2013)Active learning methodologies in STEM degrees jeopardized by COVID19., , , and . EDUCON, page 689-695. IEEE, (2021)Genetic Algorithms Combined with the Finite Elements Method as an Efficient Methodology for the Design of Tapered Roller Bearings., , , and . SOCO, volume 87 of Advances in Intelligent and Soft Computing, page 243-252. Springer, (2011)A neural network-based approach for optimising rubber extrusion lines., , , and . Int. J. Computer Integrated Manufacturing, 20 (8): 828-837 (2007)Hybrid Intelligent Parsimony Search in Small High-Dimensional Datasets., , , and . HAIS, volume 14001 of Lecture Notes in Computer Science, page 384-396. Springer, (2023)New Hybrid Methodology Based on Particle Swarm Optimization with Genetic Algorithms to Improve the Search of Parsimonious Models in High-Dimensional Databases., , and . HAIS, volume 13469 of Lecture Notes in Computer Science, page 335-347. Springer, (2022)Work-in-Progress: Building Up Employability Skills and Social Responsibility in the University of La Rioja Industrial Engineering Degrees., , , , and . ICL (2), volume 634 of Lecture Notes in Networks and Systems, page 283-290. Springer, (2022)GAparsimony: An R Package for Searching Parsimonious Models by Combining Hyperparameter Optimization and Feature Selection., , , , and . HAIS, volume 10870 of Lecture Notes in Computer Science, page 62-73. Springer, (2018)Improving Steel Industrial Processes Using Genetic Algorithms and Finite Element Method., , , and . SOCO, volume 87 of Advances in Intelligent and Soft Computing, page 233-241. Springer, (2011)Hotel Reservation Forecasting Using Flexible Soft Computing Techniques: A Case of Study in a Spanish Hotel., , , , and . Int. J. Inf. Technol. Decis. Mak., 15 (5): 1211-1234 (2016)