Most of these works require formulation of mathematical models which extensively use artificial intelligence techniques, intelligent methods and agent-based computing approaches to solve the computational problems.
It has been a long history that intelligent methods from artificial intelligence were widely used in bioinformatics, where these approaches were utilized to analyze and interpret the big datasets that cannot be handled by biologists.
With the rapid development of the modern industry, the processing approaches of condition monitoring and fault diagnosis would be integrated with two or more intelligent methods for enhancing the diagnosis performance, given each computational intelligence method has its own specialty.
Additionally, intelligent methods are increasingly popular in forecasting model applications.
Intelligent methods are illustrated in the next section.
Artificial intelligent methods are today extensively used in many areas.
However, through the passage of time, more advanced and intelligent methods have been proposed.
Various intelligent methods were adopted to improve anti interference capability [11, 12, 13, 14].
In this case, the intelligent methods are the most suitable option.
Computer integrated manufacturing (CIM) applications are increasingly utilizing artificial intelligent methods.
In fact, specific health application using standard intelligent methods may not satisfy multiple criteria.
