Artificial Intelligence in Models, Methods and Applications [electronic resource] / edited by Olga Dolinina, Igor Bessmertny, Alexander Brovko, Vladik Kreinovich, Vitaly Pechenkin, Alexey Lvov, Vadim Zhmud.

Colaborador(es): Dolinina, Olga [editor.] | Bessmertny, Igor [editor.] | Brovko, Alexander [editor.] | Kreinovich, Vladik [editor.] | Pechenkin, Vitaly [editor.] | Lvov, Alexey [editor.] | Zhmud, Vadim [editor.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Studies in Systems, Decision and Control ; 457Editor: Cham : Springer International Publishing : Imprint: Springer, 2023Edición: 1st ed. 2023Descripción: XV, 712 p. 299 illus., 173 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783031229381Tema(s): Control engineering | Artificial intelligence | Control and Systems Theory | Artificial IntelligenceFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 629.8312 | 003 Clasificación LoC:TJ212-225Recursos en línea: Libro electrónicoTexto
Contenidos:
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.
En: Springer Nature eBookResumen: 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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Acceso multiusuario

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.

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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