Cutting Edge Applications Of Computational Intelligence Tools And Techniques Kevin Daimi by Kevin Daimi, Abeer Alsadoon, Luis Coelho, (eds.) instant download after payment.

The main objective of computational intelligence is to recognize the rules, theories, dogmas, and assumptions that result in conceivable intelligent performance in appli-cations and systems. The Institute of Electrical and Electronics Engineers (IEEE) defines Computational Intelligence (CI) to be “the theory, design, application, and development of biologically and linguistically motivated computational paradigms. Traditionally the three main pillars of CI have been Neural Networks, Fuzzy Systems and Evolutionary Computation.” Computational intelligence is composed of various computational techniques and methods to tackle complex real-life problems when other traditional approaches fail to solve such problems.
To contribute to the objectives of computational intelligence (CI), this book presents six areas of cutting-edge applications of CI tools and techniques. The first area focuses on CI in Human-Machine Interaction. CI in Robotics and Automation and CI in Manufacturing, Engineering, and Industry are covered in Areas 2 and 3, respectively. Area 4 introduces CI in Recognition and Processing and Area 5 depicts CI in Finance, Business, Economics, and Education. Finally, Area 6 concentrates on applications of CI in Vehicles, Smart Cities/Energy, and Networking.