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Hybrid Modelling of Multilayer Perceptron Ensembles for Predicting the Response of Bolted Lap Joints.

, , , and . Logic Journal of the IGPL, 23 (3): 451-462 (2015)

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Multilayer-Perceptron Network Ensemble Modeling with Genetic Algorithms for the Capacity of Bolted Lap Joint., , , and . HAIS (1), volume 7208 of Lecture Notes in Computer Science, page 545-556. Springer, (2012)Parsimonious Support Vector Machines Modelling for Set Points in Industrial Processes Based on Genetic Algorithm Optimization., , , and . SOCO-CISIS-ICEUTE, volume 239 of Advances in Intelligent Systems and Computing, page 1-10. Springer, (2013)Hybrid Modelling of Multilayer Perceptron Ensembles for Predicting the Response of Bolted Lap Joints., , , and . Logic Journal of the IGPL, 23 (3): 451-462 (2015)The Application of Metamodels Based on Soft Computing to Reproduce the Behaviour of Bolted Lap Joints in Steel Structures., , , and . SOCO-CISIS-ICEUTE, volume 239 of Advances in Intelligent Systems and Computing, page 151-160. Springer, (2013)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)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)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)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)PSO-PARSIMONY: A New Methodology for Searching for Accurate and Parsimonious Models with Particle Swarm Optimization. Application for Predicting the Force-Displacement Curve in T-stub Steel Connections., , , and . HAIS, volume 12886 of Lecture Notes in Computer Science, page 15-26. Springer, (2021)