Artificial Intelligence in Models, Methods and Applications

Olga Dolinina, Igor Bessmertny, Alexander Brovko, Vladik Kreinovich, Vitaly Pechenkin, Alexey Lvov, Vadim Zhmud (Herausgeber)

Buch | Hardcover

XV, 712 Seiten

2023 | 2023
Springer International Publishing (Verlag)
978-3-031-22937-4 (ISBN)

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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.

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.

Erscheinungsdatum	28.04.2023
Reihe/Serie	Studies in Systems, Decision and Control
Zusatzinfo	XV, 712 p. 299 illus., 173 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	1330 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Themenwelt	Technik ► Elektrotechnik / Energietechnik
Schlagworte	Artificial Intelligence • conference proceedings • Decision Making • Fuzzy Logic • Knowledge Representation • Neurorecognition • Ontology • semantic web
ISBN-10	3-031-22937-1 / 3031229371
ISBN-13	978-3-031-22937-4 / 9783031229374
Zustand	Neuware