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Disambiguation of "Sanz-García, Andrés"

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GA-PARSIMONY: A GA-SVR approach with feature selection and parameter optimization to obtain parsimonious solutions for predicting temperature settings in a continuous annealing furnace.

, , , , and . Appl. Soft Comput., (2015)

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Miguel Andrés Sanz

Andrés Garcia Espino

Andrès Balmaceda Garcia

Luisa García García

Julio Abraham García García

 

Other publications of authors with the same name

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)GA-PARSIMONY: A GA-SVR approach with feature selection and parameter optimization to obtain parsimonious solutions for predicting temperature settings in a continuous annealing furnace., , , , and . Appl. Soft Comput., (2015)Application of Genetic Algorithms to Optimize a Truncated Mean k-Nearest Neighbours Regressor for Hotel Reservation Forecasting., , , and . HAIS (1), volume 7208 of Lecture Notes in Computer Science, page 79-90. Springer, (2012)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)Improving Hotel Room Demand Forecasting with a Hybrid GA-SVR Methodology Based on Skewed Data Transformation, Feature Selection and Parsimony Tuning., , , , and . HAIS, volume 9121 of Lecture Notes in Computer Science, page 632-643. Springer, (2015)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)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)Improving hotel room demand forecasting with a hybrid GA-SVR methodology based on skewed data transformation, feature selection and parsimony tuning., , , , and . Log. J. IGPL, 25 (6): 877-889 (2017)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)Soft Computing Metamodels for the Failure Prediction of T-stub Bolted Connections., , , , and . SOCO-CISIS-ICEUTE, volume 299 of Advances in Intelligent Systems and Computing, page 41-51. Springer, (2014)