Langue: anglais
Edité par LAP LAMBERT Academic Publishing, 2012
ISBN 10 : 3847319663 ISBN 13 : 9783847319665
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Ajouter au panierTaschenbuch. Etat : Neu. Applications of Soft Computing Techniques for Cancer Prognosis | Artificial Intelligence Techniques in Survival Analysis | Oras F. Baker | Taschenbuch | 224 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783847319665 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
Langue: anglais
Edité par LAP LAMBERT Academic Publishing, 2012
ISBN 10 : 3847319663 ISBN 13 : 9783847319665
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Ajouter au panierEtat : Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | 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.
Langue: anglais
Edité par LAP LAMBERT Academic Publishing, 2012
ISBN 10 : 3847319663 ISBN 13 : 9783847319665
Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
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Ajouter au panierPaperback. Etat : Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Langue: anglais
Edité par LAP LAMBERT Academic Publishing Jan 2012, 2012
ISBN 10 : 3847319663 ISBN 13 : 9783847319665
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
EUR 79
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Ajouter au panierTaschenbuch. Etat : 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.
Langue: anglais
Edité par LAP LAMBERT Academic Publishing, 2012
ISBN 10 : 3847319663 ISBN 13 : 9783847319665
Vendeur : moluna, Greven, Allemagne
EUR 63,42
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Ajouter au panierEtat : 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 .
Langue: anglais
Edité par LAP LAMBERT Academic Publishing Jan 2012, 2012
ISBN 10 : 3847319663 ISBN 13 : 9783847319665
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
EUR 79
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Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. 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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 224 pp. Englisch.
Langue: anglais
Edité par LAP LAMBERT Academic Publishing, 2012
ISBN 10 : 3847319663 ISBN 13 : 9783847319665
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 79
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Ajouter au panierTaschenbuch. Etat : 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.