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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 114,11
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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 126,93
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Aggiungi al carrelloCondizione: New. The high profile of structural health monitoring (SHM) will add urgency to this detailed treatment of intelligent SHM development and implementation via the evolutionary system, which uses a genetic algorithm to automate the development of the fuzzy system. Num Pages: 140 pages, 25 black & white tables, biography. BIC Classification: TBJ; TGB; TNKX; TRP; TTBM. Category: (G) General (US: Trade). Dimension: 235 x 155 x 8. Weight in Grams: 226. . 2014. Paperback. . . . .
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 135,21
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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 145,08
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Aggiungi al carrelloCondizione: New. The high profile of structural health monitoring (SHM) will add urgency to this detailed treatment of intelligent SHM development and implementation via the evolutionary system, which uses a genetic algorithm to automate the development of the fuzzy system. Num Pages: 132 pages, 25 black & white tables, biography. BIC Classification: TBJ; TNC; TNKX. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 18. Weight in Grams: 380. . 2011. Hardback. . . . .
EUR 159,96
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Aggiungi al carrelloCondizione: New. The high profile of structural health monitoring (SHM) will add urgency to this detailed treatment of intelligent SHM development and implementation via the evolutionary system, which uses a genetic algorithm to automate the development of the fuzzy system. Num Pages: 140 pages, 25 black & white tables, biography. BIC Classification: TBJ; TGB; TNKX; TRP; TTBM. Category: (G) General (US: Trade). Dimension: 235 x 155 x 8. Weight in Grams: 226. . 2014. Paperback. . . . . Books ship from the US and Ireland.
EUR 150,49
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Aggiungi al carrelloHardcover. Condizione: Brand New. 138 pages. 9.25x6.25x0.75 inches. In Stock.
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EUR 183,26
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Aggiungi al carrelloCondizione: New. The high profile of structural health monitoring (SHM) will add urgency to this detailed treatment of intelligent SHM development and implementation via the evolutionary system, which uses a genetic algorithm to automate the development of the fuzzy system. Num Pages: 132 pages, 25 black & white tables, biography. BIC Classification: TBJ; TNC; TNKX. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 18. Weight in Grams: 380. . 2011. Hardback. . . . . Books ship from the US and Ireland.
Editore: Springer London Ltd, England, 2011
ISBN 10: 0857299069 ISBN 13: 9780857299062
Lingua: Inglese
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
EUR 118,87
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. Structural health monitoring (SHM) has emerged as a prominent research area in recent years owing to increasing concerns about structural safety, and the need to monitor and extend the lives of existing structures. Structural Health Monitoring Using Genetic Fuzzy Systems elaborates the process of intelligent SHM development and implementation using the evolutionary system. The use of a genetic algorithm automates the development of the fuzzy system, and makes the method easy to use for problems involving a large number of measurements, damage locations and sizes; such problems being typical of SHM. The ideas behind fuzzy logic, genetic algorithms and genetic fuzzy systems are also explained. The functionality of the genetic fuzzy system architecture is elucidated within a case-study framework, covering: SHM of beams; SHM of composite tubes; and SHM of helicopter rotor blades. Structural Health Monitoring Using Genetic Fuzzy Systems will be useful for aerospace, civil and mechanical engineers working with structures and structured components. It will also be useful for computer scientists and applied mathematicians interested in the application of genetic fuzzy systems to engineering problems. Structural Health Monitoring Using Genetic Fuzzy Systems elaborates the process of intelligent SHM development and implementation using the evolutionary system. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Editore: Springer London Ltd, London, 2014
ISBN 10: 1447159683 ISBN 13: 9781447159681
Lingua: Inglese
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
EUR 118,87
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. Structural health monitoring (SHM) has emerged as a prominent research area in recent years owing to increasing concerns about structural safety, and the need to monitor and extend the lives of existing structures. Structural Health Monitoring Using Genetic Fuzzy Systems elaborates the process of intelligent SHM development and implementation using the evolutionary system. The use of a genetic algorithm automates the development of the fuzzy system, and makes the method easy to use for problems involving a large number of measurements, damage locations and sizes; such problems being typical of SHM. The ideas behind fuzzy logic, genetic algorithms and genetic fuzzy systems are also explained. The functionality of the genetic fuzzy system architecture is elucidated within a case-study framework, covering: SHM of beams; SHM of composite tubes; and SHM of helicopter rotor blades. Structural Health Monitoring Using Genetic Fuzzy Systems will be useful for aerospace, civil and mechanical engineers working with structures and structured components. It will also be useful for computer scientists and applied mathematicians interested in the application of genetic fuzzy systems to engineering problems. Structural Health Monitoring Using Genetic Fuzzy Systems elaborates the process of intelligent SHM development and implementation using the evolutionary system. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 162,30
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Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 162,30
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Aggiungi al carrelloPaperback. Condizione: Like New. Like New. book.
Editore: Springer London Ltd, London, 2014
ISBN 10: 1447159683 ISBN 13: 9781447159681
Lingua: Inglese
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 185,84
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. Structural health monitoring (SHM) has emerged as a prominent research area in recent years owing to increasing concerns about structural safety, and the need to monitor and extend the lives of existing structures. Structural Health Monitoring Using Genetic Fuzzy Systems elaborates the process of intelligent SHM development and implementation using the evolutionary system. The use of a genetic algorithm automates the development of the fuzzy system, and makes the method easy to use for problems involving a large number of measurements, damage locations and sizes; such problems being typical of SHM. The ideas behind fuzzy logic, genetic algorithms and genetic fuzzy systems are also explained. The functionality of the genetic fuzzy system architecture is elucidated within a case-study framework, covering: SHM of beams; SHM of composite tubes; and SHM of helicopter rotor blades. Structural Health Monitoring Using Genetic Fuzzy Systems will be useful for aerospace, civil and mechanical engineers working with structures and structured components. It will also be useful for computer scientists and applied mathematicians interested in the application of genetic fuzzy systems to engineering problems. Structural Health Monitoring Using Genetic Fuzzy Systems elaborates the process of intelligent SHM development and implementation using the evolutionary system. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Editore: Springer London Ltd, England, 2011
ISBN 10: 0857299069 ISBN 13: 9780857299062
Lingua: Inglese
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 189,35
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. Structural health monitoring (SHM) has emerged as a prominent research area in recent years owing to increasing concerns about structural safety, and the need to monitor and extend the lives of existing structures. Structural Health Monitoring Using Genetic Fuzzy Systems elaborates the process of intelligent SHM development and implementation using the evolutionary system. The use of a genetic algorithm automates the development of the fuzzy system, and makes the method easy to use for problems involving a large number of measurements, damage locations and sizes; such problems being typical of SHM. The ideas behind fuzzy logic, genetic algorithms and genetic fuzzy systems are also explained. The functionality of the genetic fuzzy system architecture is elucidated within a case-study framework, covering: SHM of beams; SHM of composite tubes; and SHM of helicopter rotor blades. Structural Health Monitoring Using Genetic Fuzzy Systems will be useful for aerospace, civil and mechanical engineers working with structures and structured components. It will also be useful for computer scientists and applied mathematicians interested in the application of genetic fuzzy systems to engineering problems. Structural Health Monitoring Using Genetic Fuzzy Systems elaborates the process of intelligent SHM development and implementation using the evolutionary system. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Da: moluna, Greven, Germania
EUR 92,27
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Aggiungi al carrelloGebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Demonstrates the application of genetic fuzzy systems to engineering problems, which will be of interest to computer scientists and applied mathematicians Provides the reader with information on the use of genetic fuzzy systems as a computational .
Da: moluna, Greven, Germania
EUR 92,27
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Demonstrates the application of genetic fuzzy systems to engineering problems, which will be of interest to computer scientists and applied mathematicians Provides the reader with information on the use of genetic fuzzy systems as a computational .