Recent Advances in Intelligent Information Systems and Applied Mathematics

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This book describes the latest advances in intelligent techniques such as fuzzy logic, neural networks, and optimization algorithms, and their relevance in building intelligent information systems in combination with applied mathematics. The authors also outline the applications of these systems in areas like intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction, and optimization of complex problems. By sharing fresh ideas and identifying new targets/problems it offers young researchers and students new directions for their future research. The book is intended for readers from mathematics and computer science, in particular professors and students working on theory and applications of intelligent systems for real-world applications.

Author(s): Oscar Castillo, Dipak Kumar Jana, Debasis Giri, Arif Ahmed
Series: Studies in Computational Intelligence, 863
Publisher: Springer
Year: 2020

Language: English
Pages: 924
City: Cham