Evolutionary Learning: Advances in Theories and Algorithms

Evolutionary Learning: Advances in Theories and Algorithms

Many machine learning tasks involve solving complex optimization problems, such as working on non-differentiable, non-continuous, and non-unique objective functions; in some cases it can prove difficult to even define an explicit objective function. Evolutionary learning applies evolutionary algorit...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς:	Zhou, Zhi-Hua (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Yu, Yang (http://id.loc.gov/vocabulary/relators/aut), Qian, Chao (http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή:	SpringerLink (Online service)
Μορφή:	Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:	English
Έκδοση:	Singapore : Springer Singapore : Imprint: Springer, 2019.
Έκδοση:	1st ed. 2019.
Θέματα:	Artificial intelligence. Algorithms. Computer science-Mathematics. Artificial Intelligence. Algorithm Analysis and Problem Complexity. Math Applications in Computer Science.
Διαθέσιμο Online:	Full Text via HEAL-Link

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