Ebook Free Download | Structural Health Monitoring Using Genetic Fuzzy Systems | Structural health monitoring (SHM) has emerged as a prominent research area in recent years because of rising concerns about structural safety, and the need to monitor and extend the life of the existing structure. Structural Health Monitoring Using Genetic Fuzzy Systems describes the process of development and implementation of SHM intelligent use of the system evolution. The use of genetic algorithms to automate the development of fuzzy systems, and makes the method easy to use for problems involving a large number of measurements, location of damage and size of the typical problems such as 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.
Download : Structural Health Monitoring Using Genetic Fuzzy Systems
Ebook Free Download
Related posts:
- Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration (The Morgan Kaufmann Series in Data Management Systems)
- Genetic Algorithms and Fuzzy Multiobjective Optimization (Operations Research Computer Science Interfaces Series)
- Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms: Industrial Applications
- An Introduction to Genetic Algorithms (Complex Adaptive Systems)
- Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering (Computational Intelligence)
Comments