Artificial Organic Networks Artificial Intelligence Based on Carbon Networks
-
- Hardcover ausgewählt
- Taschenbuch
- eBook
-
Sprache:Englisch
95,99 €
UVP
106,99 €
inkl. gesetzl. MwSt.,
Beschreibung
Produktdetails
Einband
Gebundene Ausgabe
Erscheinungsdatum
29.11.2013
Abbildungen
XII, 228 p. 192 illus., 56 illus. in color. With online files/update.
Verlag
SpringerSeitenzahl
228
Maße (L/B/H)
24,1/16/1,9 cm
Gewicht
530 g
Sprache
Englisch
ISBN
978-3-319-02471-4
This monograph describes the synthesis and use of biologically-inspired artificial hydrocarbon networks (AHNs) for approximation models associated with machine learning and a novel computational algorithm with which to exploit them. The reader is first introduced to various kinds of algorithms designed to deal with approximation problems and then, via some conventional ideas of organic chemistry, to the creation and characterization of artificial organic networks and AHNs in particular.
The advantages of using organic networks are discussed with the rules to be followed to adapt the network to its objectives. Graph theory is used as the basis of the necessary formalism. Simulated and experimental examples of the use of fuzzy logic and genetic algorithms with organic neural networks are presented and a number of modeling problems suitable for treatment by AHNs are described:
· approximation;
· inference;
· clustering;
· control;
· classification; and
· audio-signal filtering.
The text finishes with a consideration of directions in which AHNs could be implemented and developed in future.
The novel approach to creating networks suitable for machine learning systems demonstrated in Artificial Organic Networks will be of interest to academic researchers and graduate students working in areas associated with computational intelligence, intelligent control, systems approximation and complex networks.
Noch keine Bewertungen vorhanden
Verfassen Sie die erste Bewertung zu diesem Artikel
Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.
Kurze Frage zu unserer Seite
Vielen Dank für dein Feedback
Wir nutzen dein Feedback, um unsere Produktseiten zu verbessern. Bitte habe Verständnis, dass wir dir keine Rückmeldung geben können. Falls du Kontakt mit uns aufnehmen möchtest, kannst du dich aber gerne an unseren Kund*innenservice wenden.
zum Kundenservice