Editore: LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3847319663 ISBN 13: 9783847319665
Lingua: Inglese
Da: Buchpark, Trebbin, Germania
EUR 55,60
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Aggiungi al carrelloCondizione: Hervorragend. Zustand: Hervorragend | Seiten: 224 | Sprache: Englisch | Produktart: Bücher.
Editore: LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3847319663 ISBN 13: 9783847319665
Lingua: Inglese
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 155,35
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Like New. Like New. book.
Editore: LAP LAMBERT Academic Publishing Jan 2012, 2012
ISBN 10: 3847319663 ISBN 13: 9783847319665
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 79,00
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The study done in this book was designed as a focused preliminary exploration into the power of the genetic algorithm and fuzzy logic system to the prediction of cancer survival, The results of the experiments were very positive, comparing the outcome of the GA model with that of FL it shows the robustness of the GA model as prediction system.The two principal designs indicate that the use of genetic algorithms and fuzzy logic in NPC is definitely a fruitful endeavour. The results would suggest that genetic algorithms as standalone classifier models are better (based on the system designed in this research) for this sort of task than a fuzzy logic model. 224 pp. Englisch.
Editore: LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3847319663 ISBN 13: 9783847319665
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 79,00
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The study done in this book was designed as a focused preliminary exploration into the power of the genetic algorithm and fuzzy logic system to the prediction of cancer survival, The results of the experiments were very positive, comparing the outcome of the GA model with that of FL it shows the robustness of the GA model as prediction system.The two principal designs indicate that the use of genetic algorithms and fuzzy logic in NPC is definitely a fruitful endeavour. The results would suggest that genetic algorithms as standalone classifier models are better (based on the system designed in this research) for this sort of task than a fuzzy logic model.
Editore: LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3847319663 ISBN 13: 9783847319665
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 63,42
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: F. Baker OrasDr.Oras F. Baker is the head of Research and Industrial Collaboration Dept in UCSI University and currently he is a faculty member in UKH University. He obtained his PhD in Artificial Intelligence from the University of .