Applied Computational Intelligence and Soft Computing in Engineering

Nonfiction, Computers, Advanced Computing, Engineering, Computer Engineering, Artificial Intelligence, General Computing
Cover of the book Applied Computational Intelligence and Soft Computing in Engineering by , IGI Global
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Author: ISBN: 9781522531319
Publisher: IGI Global Publication: September 13, 2017
Imprint: Engineering Science Reference Language: English
Author:
ISBN: 9781522531319
Publisher: IGI Global
Publication: September 13, 2017
Imprint: Engineering Science Reference
Language: English
Although computational intelligence and soft computing are both well-known fields, using computational intelligence and soft computing in conjunction is an emerging concept. This combination can effectively be used in practical areas of various fields of research. Applied Computational Intelligence and Soft Computing in Engineering is an essential reference work featuring the latest scholarly research on the concepts, paradigms, and algorithms of computational intelligence and its constituent methodologies such as evolutionary computation, neural networks, and fuzzy logic. Including coverage on a broad range of topics and perspectives such as cloud computing, sampling in optimization, and swarm intelligence, this publication is ideally designed for engineers, academicians, technology developers, researchers, and students seeking current research on the benefits of applying computation intelligence techniques to engineering and technology.
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Although computational intelligence and soft computing are both well-known fields, using computational intelligence and soft computing in conjunction is an emerging concept. This combination can effectively be used in practical areas of various fields of research. Applied Computational Intelligence and Soft Computing in Engineering is an essential reference work featuring the latest scholarly research on the concepts, paradigms, and algorithms of computational intelligence and its constituent methodologies such as evolutionary computation, neural networks, and fuzzy logic. Including coverage on a broad range of topics and perspectives such as cloud computing, sampling in optimization, and swarm intelligence, this publication is ideally designed for engineers, academicians, technology developers, researchers, and students seeking current research on the benefits of applying computation intelligence techniques to engineering and technology.

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