Authors: Parashkevova, Ludmila, Egizabal, Pedro

Subject Terms: Magnesium, AZ91, Modelling, Computational intelligence

Relation: info:eu-repo/grantAgreement/EC/FP7/290526/EU/Innovative materials solutions for Transport, Energy and Biomedical sectors by strengthening integration and enhancing research dynamics of KMM-VIN/INNVIN; info:eu-repo/grantAgreement/EC/FP7/314582/EU/Development of a new high performance material associated to a new technological Energetic, Flexible, Economical, Versatile and Ecological process to make super strong and lightweight components/EFEVE; Parashkevova, Ludmila; Egizabal, Pedro, Modelling of light Mg and Al based alloys as ”in situ” composites, in: Advanced Computing in Industrial Mathematics: 11th Annual Meeting of the Bulgarian Section of SIAM, December 20-22, 2016, Sofia, Bulgaria. Revised Selected Papers, editors: K. Georgiev, M. Todorov, I. Georgiev, Studies in computational intelligence, 728, Springer, 2018, pp.145-157. https://doi.org/10.1007/978-3-319-65530-7_14; http://hdl.handle.net/11556/407

Availability: https://doi.org/10.1007/978-3-319-65530-7_14
http://hdl.handle.net/11556/407

Authors: Salcedo-Sanz, Sancho, Muñoz-Bulnes, J., Portilla-Figueras, Jose Antonio, Del Ser, Javier

Subject Terms: Energy demand estimation, Computational intelligence, Extreme Learning Machines, Harmony Search

Relation: Energy Conversion and Management 99 (2015) 62–71; http://hdl.handle.net/11556/229

Availability: https://doi.org/10.1016/j.enconman.2015.03.109
http://hdl.handle.net/11556/229