Applications soft computing techniques par baker oras (7 résultats)
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Taschenbuch. 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.
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Etat : 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.
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Vendeur : Mispah books, Redhill, SURRE, Royaume-UniMispah books
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Paperback. Etat : Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AllemagneBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. 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, compar…ing 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.
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Etat : 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 Intellige…nce from the University of .
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Taschenbuch. 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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 224 pp. Englisch.
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Vendeur : AHA-BUCH GmbH, Einbeck, AllemagneAHA-BUCH GmbH
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Taschenbuch. 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 t…he 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.
