( en | de | ru )

 

Disambiguation

From post

копироватьудалитьдобавить публикацию в буфер
Application of Genetic Algorithms to Optimize a Truncated Mean k-Nearest Neighbours Regressor for Hotel Reservation Forecasting.

, , , и . HAIS (1), том 7208 из Lecture Notes in Computer Science, стр. 79-90. Springer, (2012)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

Bárbara Fernández Fernández

Fernando Fernández

Victoria Fernández

Pablo Fernández

Asunción Fernández

 

Другие публикации лиц с тем же именем

Hybrid Modelling of Multilayer Perceptron Ensembles for Predicting the Response of Bolted Lap Joints., , , и . 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., , , и . SOCO-CISIS-ICEUTE, том 239 из Advances in Intelligent Systems and Computing, стр. 151-160. Springer, (2013)Multilayer-Perceptron Network Ensemble Modeling with Genetic Algorithms for the Capacity of Bolted Lap Joint., , , и . HAIS (1), том 7208 из Lecture Notes in Computer Science, стр. 545-556. Springer, (2012)Parsimonious Support Vector Machines Modelling for Set Points in Industrial Processes Based on Genetic Algorithm Optimization., , , и . SOCO-CISIS-ICEUTE, том 239 из Advances in Intelligent Systems and Computing, стр. 1-10. Springer, (2013)Application of Genetic Algorithms to Optimize a Truncated Mean k-Nearest Neighbours Regressor for Hotel Reservation Forecasting., , , и . HAIS (1), том 7208 из Lecture Notes in Computer Science, стр. 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., , , , и . HAIS, том 9121 из Lecture Notes in Computer Science, стр. 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., , , , и . Neurocomputing, (2023)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., , , и . HAIS, том 12886 из Lecture Notes in Computer Science, стр. 15-26. Springer, (2021)Technical projects with social commitment for teaching-learning intervention in STEM students., , , , и . EDUCON, стр. 579-586. IEEE, (2020)Hotel Reservation Forecasting Using Flexible Soft Computing Techniques: A Case of Study in a Spanish Hotel., , , , и . Int. J. Inf. Technol. Decis. Mak., 15 (5): 1211-1234 (2016)