Application of Machine Learning and Optimization Methods in Engineering Mathematics

The articles published in this Special Issue collectively demonstrate the significant impact of mathematical modeling, machine learning, and optimization techniques in solving complex engineering problems. They cover a broad spectrum of applications, from manufacturing process control and electric v...

Descripció completa

Guardat en:

Dades bibliogràfiques
Autors principals:	Kovačević, Miljan, Bulajić, Borko Đ.
Format:	Online
Idioma:	anglès
Publicat:	MDPI - Multidisciplinary Digital Publishing Institute 2026
Matèries:	crumb rubber fly ash nano silica mechanical characteristics artificial neural network Pythagorean Fuzzy Analytic Hierarchy Process Interval Valued Pythagorean Fuzzy Analytic Hierarchy Process smartness buildings join operation data standardization spatial data distribution lagged cross-correlations time series data semantic data enrichment Open Data Barcelona Smart City potential theory BEM complex analysis estimations twin extreme learning machine within-class scatter fisher regularization capped L1-norm robustness Cox–Ingersoll–Ross model Heston model variance premium principle HARA utility PMSM drives remora optimization algorithm deep learning electric vehicles artificial intelligence optical filter big data mining fuzzy PID control neural network yield rate
Accés en línia:	https://directory.doabooks.org/handle/20.500.12854/170584
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!

Application of Machine Learning and Optimization Methods in Engineering Mathematics

Ítems similars: Application of Machine Learning and Optimization Methods in Engineering Mathematics

Ítems similars