Brief Introduction to Computational Intelligence Paradigms for Fractional Calculus Researchers

  • Indranil Pan
  • Saptarshi Das
Part of the Studies in Computational Intelligence book series (SCI, volume 438)


This chapter introduces the various paradigms in computational intelligence commonly used to solve a wide variety of challenging problems in systems engineering for which analytical solutions are usually difficult to obtain. The foundations of these concepts are briefly reviewed and their importance and short comings are highlighted. The discussion mainly focusses on Artificial Neural Networks, Fuzzy sets and systems, global optimization techniques based on evolutionary and swarm approaches and evolutionary programming. Popular applications of these paradigms in systems theory are outlined with appropriate references.


Genetic Algorithm Fuzzy Logic Fuzzy Rule Fuzzy Controller Fuzzy Inference System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Department of Power EngineeringJadavpur UniversityKolkataIndia

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