Machine Intelligence Methods in Vibration Problems Research

Call for Papers

Vibration problems in various science and engineering disciplines are usually solved using analytical and numerical methods. Powerful machine intelligence methods are recently being used in solving a variety of problems of science and engineering in particular vibration and inverse vibration problems. The aim of this special issue is to bring together the leading researchers of vibration and inverse vibration problems who use the recently developed machine intelligence techniques to present their original research studies of very high quality. Further, in this special issue, different mathematical theory, numerical simulation, data acquisition and analysis, sensor placement optimization, real-life structural monitoring, engineering design, and their various applications based on different machine intelligence methods, namely, artificial neural network, fuzzy, genetic algorithm, swarm optimization, support vector machines, fish school, rough set theory, granular computing, statistical learning theory, fuzzy stochastic programming, different hybrid methods, and so forth, will be included.

Most importantly, the applications of vibration principles involve critical research and development issues in many diverse engineering areas, namely, aeronautical, marine, mechanical, nuclear, civil, earthquake designs, and so forth, as well as in other basic and applied mathematics and sciences. Accordingly, there is a pressing need for these problems to be analyzed with sufficient accuracy and essentially by employing fast computational methods. We invite investigators to contribute original research and review articles of the machine intelligence methods that may be used in the above-mentioned vibration problems. Potential topics include, but are not limited to:

• Machine intelligence and soft-computing-based methods, namely, artificial neural network, fuzzy, fuzzy stochastic, other hybrid methods, and so forth, in solving vibration and inverse vibration problems
• System identification and damage detection problems using soft computing
• Artificial intelligence (AI) models for finite element updation
• Optimization methods, namely, genetic algorithm, swarm, support vector machine, fish school search, and hybrid methods in solving vibration and inverse vibration problems
• Machine intelligence applications in the uncertain differential equations of vibration
• Recent trend in the effective use of machine intelligence techniques in the areas of solving beam, plate, shell, and other structural engineering vibration problems

Before submission authors should carefully read over the journal's Author Guidelines, which are located at http://www.hindawi.com/journals/ame/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/submit/journals/ame/mimv/ according to the following timetable:

Lead Guest Editor

• Snehashish Chakraverty, Department of Mathematics, National Institute of Technology Rourkela, Odisha 769 008, India

Guest Editors

• Atma Sahu, Department of Mathematics, Coppin State University, Baltimore, MD, USA
• Choong KokKeong, School of Civil Engineering, Universiti Sains Malaysia, Engineering Campus Seri Ampangan, 14300 Nibong Tebal, Malaysia
• S K Panigrahi, Central Building Research Institute, Roorkee 247 667, India