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              <text>Hybrid Computational Intelligence: Challenges and Applications</text>
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              <text>Hybrid Computational Intelligence: Challenges and Utilities is a comprehensive resource that begins with the basics and main components of computational intelligence. It brings together many different aspects of the current research on HCI technologies, such as neural networks, support vector machines, fuzzy logic and evolutionary computation, while also covering a wide range of applications and implementation issues, from pattern recognition and system modeling, to intelligent control problems and biomedical applications. The book also explores the most widely used applications of hybrid computation as well as the history of their development. Each individual methodology provides hybrid systems with complementary reasoning and searching methods which allow the use of domain knowledge and empirical data to solve complex problems.  2020 Elsevier Inc.</text>
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              <text>Bhattacharyya S.; Snl V.; Gupta D.; Khanna A.</text>
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              <text>Hybrid Computational Intelligence: Challenges and Applications, pp. 1-231.</text>
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              <text>ISBN: 978-012818699-2</text>
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              <text>Bhattacharyya S., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, India; Snl V., Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, Czech Republic; Gupta D., Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology, Guru Gobind Singh Indraprastha University, Delhi, India; Khanna A., Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology (MAIT), New Delhi, India</text>
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