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Structural Health Monitoring Using Genetic Fuzzy Systems
Pawar, Prashant M.; Ganguli, Ranjan
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Description for Structural Health Monitoring Using Genetic Fuzzy Systems
Paperback. 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.
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
2014
Publisher
Springer London Ltd United Kingdom
Number of pages
140
Condition
New
Number of Pages
132
Place of Publication
England, United Kingdom
ISBN
9781447159681
SKU
V9781447159681
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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