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Applications of Soft Computing Techniques for Cancer Prognosis: Artificial Intelligence Techniques in Survival Analysis - Tapa blanda
Sinopsis
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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Reseña del editor
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.
Biografía del autor
Dr.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 Malaya in 2009. He is a member in IEEE, ACM, ACS, and ECIE. Editorial Board Member for IJCSIS, IJWMC,IJASA journals.
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Applications of Soft Computing Techniques for Cancer Prognosis : Artificial Intelligence Techniques in Survival Analysis
Publicado por
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3847319663
ISBN 13: 9783847319665
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Tapa blanda
Librería: Buchpark, Trebbin, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: Hervorragend. Zustand: Hervorragend | Seiten: 224 | Sprache: Englisch | Produktart: Bücher. Nº de ref. del artículo: 11808012/1
Cantidad disponible: 1 disponibles
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Applications of Soft Computing Techniques for Cancer Prognosis
Publicado por
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3847319663
ISBN 13: 9783847319665
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Tapa blanda
Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: 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 . Nº de ref. del artículo: 5509783
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Applications of Soft Computing Techniques for Cancer Prognosis
Publicado por
LAP LAMBERT Academic Publishing Jan 2012, 2012
ISBN 10: 3847319663
ISBN 13: 9783847319665
Nuevo
Taschenbuch
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783847319665
Cantidad disponible: 2 disponibles
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Applications of Soft Computing Techniques for Cancer Prognosis : Artificial Intelligence Techniques in Survival Analysis
Publicado por
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3847319663
ISBN 13: 9783847319665
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783847319665
Cantidad disponible: 1 disponibles
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Applications of Soft Computing Techniques for Cancer Prognosis
Publicado por
LAP LAMBERT Academic Publishing Jan 2012, 2012
ISBN 10: 3847319663
ISBN 13: 9783847319665
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. 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. Nº de ref. del artículo: 9783847319665
Cantidad disponible: 2 disponibles
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Applications of Soft Computing Techniques for Cancer Prognosis: Artificial Intelligence Techniques in Survival Analysis
Publicado por
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3847319663
ISBN 13: 9783847319665
Antiguo o usado
Paperback
Librería: Mispah books, Redhill, SURRE, Reino Unido
Calificación del vendedor: 4 de 5 estrellas
Paperback. Condición: Like New. Like New. book. Nº de ref. del artículo: ERICA79638473196636
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