Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications - Studies in Computational Intelligence -  - Grāmatas - Springer Nature Switzerland AG - 9783030354442 - 2020. gada 28. februāris
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Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications - Studies in Computational Intelligence 2020 edition


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This book describes the latest advances in fuzzy logic, neural networks, and optimization algorithms, as well as their hybrid intelligent combinations, and their applications in the areas such as intelligent control, robotics, pattern recognition, medical diagnosis, time series prediction, and optimization.


792 pages, 240 Illustrations, color; 123 Illustrations, black and white; XIV, 792 p. 363 illus., 240

Mediji Grāmatas     Hardcover Book   (Grāmata ar cieto muguriņu un vāku)
Izlaists 2020. gada 28. februāris
ISBN13 9783030354442
Izdevēji Springer Nature Switzerland AG
Lapas 792
Izmēri 163 × 245 × 48 mm   ·   1,31 kg
Valoda Vācu  
Redaktors Castillo, Oscar
Redaktors Kacprzyk, Janusz
Redaktors Melin, Patricia

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