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Complex, Hypercomplex and Fuzzy-Valued Neural Networks

Complex, Hypercomplex, and Fuzzy-Valued Neural Networks are extensions of classical neural networks to higher dimensions. In recent decades, this theory has emerged as a forefront in neural networks theory. There are several approaches to extend classical neural network models: quaternionic analysis...

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Main Authors: Niemczynowicz, Agnieszka, Perfilieva, Irina, García-Raffi, Lluís M., Kycia, Radosław
Format: Online
Language:English
Published: Taylor & Francis 2025
Subjects:
Clifford algebra
mathematical physics applications
data analysis
neural network theory
quaternion
fuzzy logic systems
Cayley-Dickson
image processing techniques
hypercomplex-valued
time series modeling
complex-valued
computational mechanics
advanced neural network architectures
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQN Neural networks and fuzzy systems
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYF Computer architecture and logic design
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBF Algebra
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics
Online Access:ONIX_20251201T114739_9781040523803_3
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