Recent Advances in Intelligent Information Systems and Applied Mathematics

Recent Advances in Intelligent Information Systems and Applied Mathematics

Author
Oscar Castillo, Dipak Kumar Jana, Debasis Giri, Arif Ahmed
Publisher
Springer
Language
English
Year
2020
Page
924
ISBN
3030341518,9783030341510
File Type
epub
File Size
38.8 MiB

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.

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