Artificial Intelligence and Evolutionary Computations in Engineering Systems Book [PDF] Download

Download the fantastic book titled Artificial Intelligence and Evolutionary Computations in Engineering Systems written by Subhransu Sekhar Dash, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Artificial Intelligence and Evolutionary Computations in Engineering Systems", which was released on 08 February 2020. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Technology & Engineering genre.

Summary of Artificial Intelligence and Evolutionary Computations in Engineering Systems by Subhransu Sekhar Dash PDF

This book gathers selected papers presented at the 4th International Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems, held at the SRM Institute of Science and Technology, Kattankulathur, Chennai, India, from 11 to 13 April 2019. It covers advances and recent developments in various computational intelligence techniques, with an emphasis on the design of communication systems. In addition, it shares valuable insights into advanced computational methodologies such as neural networks, fuzzy systems, evolutionary algorithms, hybrid intelligent systems, uncertain reasoning techniques, and other machine learning methods and their application to decision-making and problem-solving in mobile and wireless communication networks.


Detail About Artificial Intelligence and Evolutionary Computations in Engineering Systems PDF

  • Author : Subhransu Sekhar Dash
  • Publisher : Springer Nature
  • Genre : Technology & Engineering
  • Total Pages : 781 pages
  • ISBN : 9811501998
  • PDF File Size : 16,6 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Intelligent Engineering Systems and Computational Cybernetics

Intelligent Engineering Systems and Computational Cybernetics
  • Publisher : Springer Science & Business Media
  • File Size : 43,9 Mb
  • Release Date : 18 December 2008
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Engineering practice often has to deal with complex systems of multiple variable and multiple parameter models almost always with strong non-linear coupling. The conventional analytical techniques-based approaches for describing and