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Hybrid Artificial Immune System: Applications on Breast Cancer Diagnosis and Pattern Recognition - Couverture souple
Synopsis
The study of artificial immune systems is a relatively new field that tries to exploit the mechanisms of the natural immune system (NIS) in order to develop problem-solving techniques. In this book, we have combined the artificial immune system with the genetic algorithms in one hybrid algorithm. The hybrid algorithm used for evolving a fuzzy rule system to solve the well known Wisconsin Breast Cancer Diagnosis problem (WBCD). The hybrid algorithm overcomes both the GAs and the AIS, so that it reached the classification ratio 97.36, by only one rule, in the earlier generations than the two other algorithms. The learning and memory acquisition of the hybrid algorithm was verified through its application to a binary character recognition problem, the hybrid algorithm overcomes also both GAs and AIS and reached the convergence point before them.
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Hybrid Artificial Immune System
Edité par
LAP LAMBERT Academic Publishing Okt 2015, 2015
ISBN 10 : 3659797723
ISBN 13 : 9783659797729
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The study of artificial immune systems is a relatively new field that tries to exploit the mechanisms of the natural immune system (NIS) in order to develop problem-solving techniques. In this book, we have combined the artificial immune system with the genetic algorithms in one hybrid algorithm. The hybrid algorithm used for evolving a fuzzy rule system to solve the well known Wisconsin Breast Cancer Diagnosis problem (WBCD). The hybrid algorithm overcomes both the GAs and the AIS, so that it reached the classification ratio 97.36, by only one rule, in the earlier generations than the two other algorithms. The learning and memory acquisition of the hybrid algorithm was verified through its application to a binary character recognition problem, the hybrid algorithm overcomes also both GAs and AIS and reached the convergence point before them. 120 pp. Englisch. N° de réf. du vendeur 9783659797729
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Hybrid Artificial Immune System
Edité par
LAP LAMBERT Academic Publishing, 2015
ISBN 10 : 3659797723
ISBN 13 : 9783659797729
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Nabil EmadEmad Nabil and Amr Badr work in the Department of Computer Science, Faculty of Computers and Information, Cairo University, Egypt. Mostafa Abdelazim works in the College of Computing and Information Technology, Arab Academy. N° de réf. du vendeur 158962596
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Hybrid Artificial Immune System
Edité par
LAP LAMBERT Academic Publishing Okt 2015, 2015
ISBN 10 : 3659797723
ISBN 13 : 9783659797729
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -The study of artificial immune systems is a relatively new field that tries to exploit the mechanisms of the natural immune system (NIS) in order to develop problem-solving techniques. In this book, we have combined the artificial immune system with the genetic algorithms in one hybrid algorithm. The hybrid algorithm used for evolving a fuzzy rule system to solve the well known Wisconsin Breast Cancer Diagnosis problem (WBCD). The hybrid algorithm overcomes both the GAs and the AIS, so that it reached the classification ratio 97.36, by only one rule, in the earlier generations than the two other algorithms. The learning and memory acquisition of the hybrid algorithm was verified through its application to a binary character recognition problem, the hybrid algorithm overcomes also both GAs and AIS and reached the convergence point before them.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 120 pp. Englisch. N° de réf. du vendeur 9783659797729
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Hybrid Artificial Immune System : Applications on Breast Cancer Diagnosis and Pattern Recognition
Edité par
LAP LAMBERT Academic Publishing, 2015
ISBN 10 : 3659797723
ISBN 13 : 9783659797729
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The study of artificial immune systems is a relatively new field that tries to exploit the mechanisms of the natural immune system (NIS) in order to develop problem-solving techniques. In this book, we have combined the artificial immune system with the genetic algorithms in one hybrid algorithm. The hybrid algorithm used for evolving a fuzzy rule system to solve the well known Wisconsin Breast Cancer Diagnosis problem (WBCD). The hybrid algorithm overcomes both the GAs and the AIS, so that it reached the classification ratio 97.36, by only one rule, in the earlier generations than the two other algorithms. The learning and memory acquisition of the hybrid algorithm was verified through its application to a binary character recognition problem, the hybrid algorithm overcomes also both GAs and AIS and reached the convergence point before them. N° de réf. du vendeur 9783659797729
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Hybrid Artificial Immune System | Applications on Breast Cancer Diagnosis and Pattern Recognition
Edité par
LAP LAMBERT Academic Publishing, 2015
ISBN 10 : 3659797723
ISBN 13 : 9783659797729
Neuf
Taschenbuch
Vendeur : preigu, Osnabrück, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Hybrid Artificial Immune System | Applications on Breast Cancer Diagnosis and Pattern Recognition | Emad Nabil (u. a.) | Taschenbuch | 120 S. | Englisch | 2015 | LAP LAMBERT Academic Publishing | EAN 9783659797729 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 104119955
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