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Methodology for inferring kinetic parameters of diesel oil HDS reactions based on scarce experimental data.

, , , and . Comput. Chem. Eng., (2013)

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Functionally expanded streaming data as input to classification processes using ensembles of constructive neural networks., and . IJCNN, page 1849-1856. IEEE, (2016)Random walk through a stock network and predictive analysis for portfolio optimization., and . Expert Syst. Appl., (May 2023)Refining constructive neural networks using functionally expanded input data., and . IJCNN, page 1-8. IEEE, (2015)A methodology for enhancing data quality for classification purposes using attribute-based decision graphs.. LA-CCI, page 1-6. IEEE, (2017)Online Sequential Learning Based on Extreme Learning Machines for Particulate Matter Forecasting., , and . BRACIS, page 169-174. IEEE Computer Society, (2017)A two-class constructive neural network algorithm for continuous domains: the OffTiling algorithm., and . Int. J. Knowl. Eng. Data Min., 1 (2): 161-183 (2010)Constructive Neural Network Algorithms for Feedforward Architectures Suitable for Classification Tasks., , , , and . Constructive Neural Networks, volume 258 of Studies in Computational Intelligence, Springer, (2009)MBabCoNN - A Multiclass Version of a Constructive Neural Network Algorithm Based on Linear Separability and Convex Hull., and . ICANN (2), volume 5164 of Lecture Notes in Computer Science, page 723-733. Springer, (2008)Interpreting Hidden Neurons in Boolean Constructive Neural Networks., , and . IDEAL, volume 6936 of Lecture Notes in Computer Science, page 34-41. Springer, (2011)A genetic algorithm for improving the induction of attribute-based decision graph classifiers., and . CEC, page 4104-4110. IEEE, (2016)