Foundations of Computational, Intelligence Volume 1 Learning and Approximation /
Learning methods and approximation algorithms are fundamental tools that deal with computationally hard problems and problems in which the input is gradually disclosed over time. Both kinds of problems have a large number of applications arising from a variety of fields, such as algorithmic game the...
Συγγραφή απο Οργανισμό/Αρχή: | SpringerLink (Online service) |
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Άλλοι συγγραφείς: | Hassanien, Aboul-Ella (Επιμελητής έκδοσης), Abraham, Ajith (Επιμελητής έκδοσης), Vasilakos, Athanasios V. (Επιμελητής έκδοσης), Pedrycz, Witold (Επιμελητής έκδοσης) |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2009.
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Σειρά: | Studies in Computational Intelligence,
201 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Παρόμοια τεκμήρια
-
Foundations of Computational Intelligence Volume 2 Approximate Reasoning /
Έκδοση: (2009) -
Foundations of Computational Intelligence Volume 3 Global Optimization /
Έκδοση: (2009) -
Foundations of Computational Intelligence Volume 5 Function Approximation and Classification /
Έκδοση: (2009) -
Foundations of Computational, IntelligenceVolume 6 Data Mining /
Έκδοση: (2009) -
Foundations of Computational Intelligence Volume 4 Bio-Inspired Data Mining /
Έκδοση: (2009)