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Vibration problems are commonly encountered in a wide range of scientific and technological domains. Covering the most recent computational and theoretical trends in the field, these books provide a state-of-the-art treatment of different mathematical theories of vibration, numerical simulations, machine intelligence techniques and physical experiments with computational investigations, as well as their various engineering, biological and science applications. The second of two volumes, this book covers soft computing, including machine intelligence techniques and uncertainty scenarios. It is an invaluable guide for graduate and postgraduate students, teachers and researchers in colleges, universities and industries in fields such as applied mathematics, physics, mechanical, civil, aerospace, electrical, nuclear, robotics, and other sciences.
Key Features:
- Presents a self-contained, up-to-date review of the topic
- Models real life vibration problems
- Introduces new concepts of various computing techniques to handle different vibration problems
- Uses examples to illustrate concepts and algorithms
Chapter 1 - Soft computing methods
Chapter 2 – Machine intelligence methods
Chapter 3 – Soft computing in vibration problems with uncertain parameters
Chapter 4 - Optimization methods
Chapter 5 – Vibration of structural elements with uncertain parameters
Chapter 6 – Arbitrary order vibrating systems with uncertain parameters
Chapter 7 – Hybrid methods in vibration problems
Chapter 8 – Machine intelligence in civil engineering problems
Chapter 9 – Vibration of uncertain coupled systems
Chapter 10 – Uncertain Inverse vibration problems