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Applications of Soft Computing Techniques for Cancer Prognosis: Artificial Intelligence Techniques in Survival Analysis - Softcover

 
9783847319665: Applications of Soft Computing Techniques for Cancer Prognosis: Artificial Intelligence Techniques in Survival Analysis

Synopsis

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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About the Author

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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  • PublisherLAP LAMBERT Academic Publishing
  • Publication date2012
  • ISBN 10 3847319663
  • ISBN 13 9783847319665
  • BindingPaperback
  • LanguageEnglish
  • Number of pages224

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ISBN 10: 3847319663 ISBN 13: 9783847319665
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Taschenbuch. Condition: 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. Seller Inventory # 9783847319665

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Taschenbuch. Condition: 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. Seller Inventory # 9783847319665

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Condition: 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 . Seller Inventory # 5509783

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