Optimization of Neural Network Parameter using Genetic Algorithm: Extraction of Neural Network Weights using Genetic Algorithm Based Back propagation Network - Brossura
Sinossi
Genetic Algorithms are one of the most powerful techniques in optimization and search problems. The Objective was, to understand this powerful technique and to explain it in better way so as to expand its field of application.The algorithm is so versatile that it can be used in any field.The objective of the GA is to find an optimal solution to a problem. Since Gas is heuristic procedures, they are not guaranteed to find the optimal solution, but they are able to find very good solutions for a wide range of problems.The use of both, genetic algorithms and artificial neural networks, was originally motivated by the astonishing success of these concepts in there biological counterparts.Despite their totally deferent approaches, both can merely be seen as optimization methods, which are used in a wide range of applications.They are capable to finding solution to hard NP-based Problems. Neural Networks utilizing back propagation based learning have promisingly showed results to a vast variety of function and problems. TSP is one such classical problem for theoretical computation.
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L'autore
Prof. Gaurang Panchal is Currently working as Assistant Professor at Charotar University of Science and Technology, Changa, India.His area of interest includes Soft Computing, Artificial Intelligence and Biometrics.His is Currently pursuing Ph.D at IIT Kharagpur in the field of Multimodal Biometrics System.
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Optimization of Neural Network Parameter using Genetic Algorithm
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LAP LAMBERT Academic Publishing Apr 2012, 2012
ISBN 10: 3848447479
ISBN 13: 9783848447473
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Genetic Algorithms are one of the most powerful techniques in optimization and search problems. The Objective was, to understand this powerful technique and to explain it in better way so as to expand its field of application.The algorithm is so versatile that it can be used in any field.The objective of the GA is to find an optimal solution to a problem. Since Gas is heuristic procedures, they are not guaranteed to find the optimal solution, but they are able to find very good solutions for a wide range of problems.The use of both, genetic algorithms and artificial neural networks, was originally motivated by the astonishing success of these concepts in there biological counterparts.Despite their totally deferent approaches, both can merely be seen as optimization methods, which are used in a wide range of applications.They are capable to finding solution to hard NP-based Problems. Neural Networks utilizing back propagation based learning have promisingly showed results to a vast variety of function and problems. TSP is one such classical problem for theoretical computation. 92 pp. Englisch. Codice articolo 9783848447473
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Optimization of Neural Network Parameter using Genetic Algorithm
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LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848447479
ISBN 13: 9783848447473
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Panchal GaurangProf. Gaurang Panchal is Currently working as Assistant Professor at Charotar University of Science and Technology, Changa, India.His area of interest includes Soft Computing, Artificial Intelligence and Biometrics.His. Codice articolo 5522882
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Optimization of Neural Network Parameter using Genetic Algorithm
Editore:
LAP LAMBERT Academic Publishing Apr 2012, 2012
ISBN 10: 3848447479
ISBN 13: 9783848447473
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Genetic Algorithms are one of the most powerful techniques in optimization and search problems. The Objective was, to understand this powerful technique and to explain it in better way so as to expand its field of application.The algorithm is so versatile that it can be used in any field.The objective of the GA is to find an optimal solution to a problem. Since Gas is heuristic procedures, they are not guaranteed to find the optimal solution, but they are able to find very good solutions for a wide range of problems.The use of both, genetic algorithms and artificial neural networks, was originally motivated by the astonishing success of these concepts in there biological counterparts.Despite their totally deferent approaches, both can merely be seen as optimization methods, which are used in a wide range of applications.They are capable to finding solution to hard NP-based Problems. Neural Networks utilizing back propagation based learning have promisingly showed results to a vast variety of function and problems. TSP is one such classical problem for theoretical computation.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 92 pp. Englisch. Codice articolo 9783848447473
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Optimization of Neural Network Parameter using Genetic Algorithm : Extraction of Neural Network Weights using Genetic Algorithm Based Back propagation Network
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LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848447479
ISBN 13: 9783848447473
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Genetic Algorithms are one of the most powerful techniques in optimization and search problems. The Objective was, to understand this powerful technique and to explain it in better way so as to expand its field of application.The algorithm is so versatile that it can be used in any field.The objective of the GA is to find an optimal solution to a problem. Since Gas is heuristic procedures, they are not guaranteed to find the optimal solution, but they are able to find very good solutions for a wide range of problems.The use of both, genetic algorithms and artificial neural networks, was originally motivated by the astonishing success of these concepts in there biological counterparts.Despite their totally deferent approaches, both can merely be seen as optimization methods, which are used in a wide range of applications.They are capable to finding solution to hard NP-based Problems. Neural Networks utilizing back propagation based learning have promisingly showed results to a vast variety of function and problems. TSP is one such classical problem for theoretical computation. Codice articolo 9783848447473
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Optimization of Neural Network Parameter using Genetic Algorithm | Extraction of Neural Network Weights using Genetic Algorithm Based Back propagation Network
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LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848447479
ISBN 13: 9783848447473
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Taschenbuch. Condizione: Neu. Optimization of Neural Network Parameter using Genetic Algorithm | Extraction of Neural Network Weights using Genetic Algorithm Based Back propagation Network | Gaurang Panchal (u. a.) | Taschenbuch | 92 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783848447473 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Codice articolo 106490202
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Optimization of Neural Network Parameter using Genetic Algorithm: Extraction of Neural Network Weights using Genetic Algorithm Based Back propagation Network
Editore:
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848447479
ISBN 13: 9783848447473
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Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Codice articolo ERICA78738484474796
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