Learning Classifier Systems From Foundations to Applications /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Lanzi, Pier L. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Stolzmann, Wolfgang (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Wilson, Stewart W. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2000.
• Έκδοση: 1st ed. 2000.
• Σειρά: Lecture Notes in Artificial Intelligence ; 1813
• Θέματα: Artificial intelligence.; Mathematical logic.; Computers.; Artificial Intelligence.; Mathematical Logic and Formal Languages.; Computation by Abstract Devices.

Learning Classifier Systems (LCS) are a machine learning paradigm introduced by John Holland in 1976. They are rule-based systems in which learning is viewed as a process of ongoing adaptation to a partially unknown environment through genetic algorithms and temporal difference learning. This book p...