9781032847146 - complex, hypercomplex and fuzzy-valued neural networks: new perspectives and applications di niemczynowicz, agnieszka; perfilieva, irina; garcía-raffi, lluís m.; kycia, radosław (18 risultati)
Complex, Hypercomplex and Fuzzy-valued Neural Networks : New Perspectives and Applications
Niemczynowicz, Agnieszka; Perfilieva, Irina; Garcia-raffi, Lluis M.; Kycia, Radoslaw
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Complex, Hypercomplex and Fuzzy-Valued Neural Networks
Niemczynowicz, Agnieszka; Perfilieva, Irina; García-Raffi, Lluís M.; Kycia, Radosław
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Complex, Hypercomplex and Fuzzy-valued Neural Networks : New Perspectives and Applications
Niemczynowicz, Agnieszka; Perfilieva, Irina; Garcia-raffi, Lluis M.; Kycia, Radoslaw
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Complex, Hypercomplex and Fuzzy-valued Neural Networks : New Perspectives and Applications
Niemczynowicz, Agnieszka; Perfilieva, Irina; Garcia-raffi, Lluis M.; Kycia, Radoslaw
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Complex, Hypercomplex and Fuzzy-valued Neural Networks: New Perspectives and Applications
Niemczynowicz, Agnieszka; Perfilieva, Irina; García-Raffi, Lluís M.; Kycia, Radosław
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Complex, Hypercomplex and Fuzzy-valued Neural Networks : New Perspectives and Applications
Niemczynowicz, Agnieszka; Perfilieva, Irina; Garcia-raffi, Lluis M.; Kycia, Radoslaw
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Complex, Hypercomplex and Fuzzy-valued Neural Networks: New Perspectives and Applications
Niemczynowicz, Agnieszka; Perfilieva, Irina; García-Raffi, Lluís M.; Kycia, Radosław
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Complex, Hypercomplex and Fuzzy-valued Neural Networks: New Perspectives and Applications
Niemczynowicz, Agnieszka/ Perfilieva, Irina/ Garcia-raffi, Lluis M./ Kycia, Radoslaw
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Complex, Hypercomplex and Fuzzy-valued Neural Networks: New Perspectives and Applications
Niemczynowicz, Agnieszka; Perfilieva, Irina; García-Raffi, Lluís M.; Kycia, Radosław
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Hardcover. Condizione: new. Hardcover. 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, which merely uses quaternions; Clifford analysis, which relies on Clifford algebras; and finally generalizations of complex variables to higher dimensions. This book reflects a selection of papers related to complex, hypercomplex analysis, and fuzzy approaches applied to neural networks theory. The topics covered represent new perspectives and current trends in neural networks and their applications to mathematical physics, image analysis and processing, mechanics, and beyond. This book explores the evolving landscape of neural network research, introducing readers to innovative mathematical approaches that extend beyond standard real-valued models. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Complex, Hypercomplex and Fuzzy-valued Neural Networks
Agnieszka Niemczynowicz|Irina Perfilieva|Lluís M. García-Raffi|Radoslaw Kycia
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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Agnieszka Niemczynowicz, PhD, is an Associate Professor at Cracow University of Technology. Her work focuses on mathematical modeling, data analysis, and machine learning, applied across science and engineering. She…has published ~50 articles, led.
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Hardcover. Condizione: new. Hardcover. 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, which merely uses quaternions; Clifford analysis, which relies on Clifford algebras; and finally generalizations of complex variables to higher dimensions. This book reflects a selection of papers related to complex, hypercomplex analysis, and fuzzy approaches applied to neural networks theory. The topics covered represent new perspectives and current trends in neural networks and their applications to mathematical physics, image analysis and processing, mechanics, and beyond. This book explores the evolving landscape of neural network research, introducing readers to innovative mathematical approaches that extend beyond standard real-valued models. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Da: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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Hardcover. Condizione: new. Hardcover. 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, which merely uses quaternions; Clifford analysis, which relies on Clifford algebras; and finally generalizations of complex variables to higher dimensions. This book reflects a selection of papers related to complex, hypercomplex analysis, and fuzzy approaches applied to neural networks theory. The topics covered represent new perspectives and current trends in neural networks and their applications to mathematical physics, image analysis and processing, mechanics, and beyond. This book explores the evolving landscape of neural network research, introducing readers to innovative mathematical approaches that extend beyond standard real-valued models. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book explores the evolving landscape of neural network research, introducing readers to innovative mathematical approaches that extend beyond standard real-valued models.
