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Computational Intelligence Magazine
The IEEE Computational Intelligence Society is comprised of leading innovators who explore how technology drives industry and impacts modern society and business – both today and tomorrow.
IEEE Computational Intelligence Magazine publishes scientific and educational articles in different areas of computational intelligence including neural networks, fuzzy systems, and evolutionary computation.
CIS Readership:
84%
of readers have 10+ years experience in their profession
Readers in Business and Industry:
41%
42%
of readers are Engineers or are in Engineering Management
The IEEE Computational Intelligence Magazine (CIM) publishes peer-reviewed articles that present
- emerging novel discoveries
- important insights
- tutorial surveys
in all areas of computational intelligence design and applications.
Additionally, CIM serves as a media of communications between the governing body and its membership of IEEE/CIS. Authors are encouraged to submit papers on applications oriented developments, successful industrial implementations, design tools, technology reviews, computational intelligence education, and applied research.
IEEE Computational Intelligence Society Field of Interest:
The Field of Interest of the Computational Intelligence Society (CIS) shall be the theory, design, application, and development of biologically and linguistically motivated computational paradigms emphasizing neural networks, connectionist systems, genetic algorithms, evolutionary programming, fuzzy systems, and hybrid intelligent systems in which these paradigms are contained.
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