Dolinina / Bessmertny / Brovko Artificial Intelligence in Models, Methods and Applications

1. Auflage 2023
ISBN: 978-3-031-22938-1
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 457, 712 Seiten, eBook

Reihe: Studies in Systems, Decision and Control

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.

Zielgruppe

Research

Autoren/Hrsg.

Dolinina, Olga

Bessmertny, Igor

Brovko, Alexander

Kreinovich, Vladik

Pechenkin, Vitaly

Lvov, Alexey

Zhmud, Vadim

Inhaltsverzeichnis

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.