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- Publisher: Engineering Science Reference
- ISBN-10: 1522531297
- ISBN-13: 9781522531296
- Format: 21.6 x 27.9 x 2.1 cm, kieti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
Applied Computational Intelligence and Soft Computing in Engineering (e-book) (used book) | bookbook.eu
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Description
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 computational intelligence techniques to engineering and technology.
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- Publisher: Engineering Science Reference
- ISBN-10: 1522531297
- ISBN-13: 9781522531296
- Format: 21.6 x 27.9 x 2.1 cm, kieti viršeliai
- Language: English 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 computational intelligence techniques to engineering and technology.
Reviews