Artificial Intelligence in Models, Methods and Applications
Editat de Olga Dolinina, Igor Bessmertny, Alexander Brovko, Vladik Kreinovich, Vitaly Pechenkin, Alexey Lvov, Vadim Zhmuden Limba Engleză Paperback – 26 apr 2024
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Specificații
ISBN-13: 9783031229763
ISBN-10: 3031229762
Pagini: 712
Ilustrații: XV, 712 p. 299 illus., 173 illus. in color.
Dimensiuni: 155 x 235 mm
Ediția:2023
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland
ISBN-10: 3031229762
Pagini: 712
Ilustrații: XV, 712 p. 299 illus., 173 illus. in color.
Dimensiuni: 155 x 235 mm
Ediția:2023
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland
Cuprins
Chapter 1: Semantic Modeling of Predicate Calculus Based on N-Tuple Algebra.- Chapter 2: Method of Iterative-Order Optimization of Multicriteria Problems Using the Local Importance of Criteria.- Chapter 3: Neural Network Representation for Ordinary Differential Equations.- Chapter 4: Modeling Situations in Spatial Analysis.
Textul de pe ultima copertă
This book is based on the accepted research papers presented in the International Conference "Artificial Intelligence in Engineering & Science" (AIES-2022). The aim of the AIES Conference is to bring together researchers involved in the theory of computational intelligence, knowledge engineering, fuzzy systems, soft computing, machine learning and related areas and applications in engineering, bioinformatics, industry, medicine, energy, smart city, social spheres and other areas. This book presents new perspective research results: models, methods, algorithms and applications in the field of Artificial Intelligence (AI). Particular emphasis is given to the medical applications - medical images recognition, development of the expert systems which could be interesting for the AI researchers as well for the physicians looking for the new ideas in medicine. The central audience of the book are researchers, industrial practitioners, students specialized in the Artificial Intelligence.
Caracteristici
Presents the outcome of conference Artificial Intelligence in Engineering and Science – AIES-2022 Covers not only AI but also Computational Intelligence, Knowledge engineering, Fuzzy systems, Soft Computing Written by experts in the field