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- Publisher: Information Science Reference
- Year: 2015
- Pages: 680
- ISBN-10: 1466694742
- ISBN-13: 9781466694743
- Format: 21.6 x 27.9 x 3.7 cm, hardcover
- Language: English
- SAVE -10% with code: EXTRA
Handbook of Research on Advanced Hybrid Intelligent Techniques and Applications (e-book) (used book) | bookbook.eu
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Conventional computational methods, and even the latest soft computing paradigms, often fall short in their ability to offer solutions to many real-world problems due to uncertainty, imprecision, and circumstantial data. Hybrid intelligent computing is a paradigm that addresses these issues to a considerable extent. The Handbook of Research on Advanced Hybrid Intelligent Techniques and Applications highlights the latest research on various issues relating to the hybridization of artificial intelligence, practical applications, and best methods for implementation. Focusing on key interdisciplinary computational intelligence research dealing with soft computing techniques, pattern mining, data analysis, and computer vision, this book is relevant to the research needs of academics, IT specialists, and graduate-level students.
EXTRA 10 % discount with code: EXTRA
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- Publisher: Information Science Reference
- Year: 2015
- Pages: 680
- ISBN-10: 1466694742
- ISBN-13: 9781466694743
- Format: 21.6 x 27.9 x 3.7 cm, hardcover
- Language: English English
Conventional computational methods, and even the latest soft computing paradigms, often fall short in their ability to offer solutions to many real-world problems due to uncertainty, imprecision, and circumstantial data. Hybrid intelligent computing is a paradigm that addresses these issues to a considerable extent. The Handbook of Research on Advanced Hybrid Intelligent Techniques and Applications highlights the latest research on various issues relating to the hybridization of artificial intelligence, practical applications, and best methods for implementation. Focusing on key interdisciplinary computational intelligence research dealing with soft computing techniques, pattern mining, data analysis, and computer vision, this book is relevant to the research needs of academics, IT specialists, and graduate-level students.
Reviews