Artificial Intelligence in Models, Methods and Applications (eBook, PDF)

Redaktion: Dolinina, Olga; Zhmud, Vadim; Lvov, Alexey; Pechenkin, Vitaly; Kreinovich, Vladik; Brovko, Alexander; Bessmertny, Igor

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 712
• Erscheinungstermin: 24. April 2023
• Englisch
• ISBN-13: 9783031229381
• Artikelnr.: 67838599

Inhaltsangabe

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.