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Clustering, Classification, and Time Series Prediction by Using Artificial Neural Networks



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Autore: Melin Patricia Visualizza persona
Titolo: Clustering, Classification, and Time Series Prediction by Using Artificial Neural Networks Visualizza cluster
Pubblicazione: Cham : , : Springer, , 2024
©2024
Edizione: 1st ed.
Descrizione fisica: 1 online resource (82 pages)
Soggetto topico: Neural computers
Fuzzy systems
Altri autori: RamirezMartha  
CastilloOscar  
Nota di contenuto: Preface -- Contents -- 1 Introduction to Prediction with Neural Networks -- References -- 2 Literature Review on Prediction with Neural Networks -- 2.1 Time Series -- 2.2 Neural Networks -- 2.3 Type-2 Fuzzy Systems -- 2.4 Multi-Criteria Decision Making -- 2.5 Cognitive Flexibility -- References -- 3 Problem Description of Prediction with Neural Networks -- 3.1 Case Studies -- 3.1.1 Traffic Accidents (CS.1) -- 3.1.2 Air Quality (CS.2) -- 3.1.3 Multiple Country Indicators (CS.3) -- 3.1.4 Multiple OECD Indicators (CS.4) -- 3.1.5 Global OECD Criteria (CS.5) -- 3.1.6 Consumption Levels LDCs (CS.6) -- 3.1.7 Indicators of Latin American Countries (CS.7) -- 3.1.8 World Development Indicators (CS.8) -- 3.2 Time Series Datasets -- References -- 4 Methodology for Prediction with Neural Networks -- 4.1 Case Study CS.1 -- 4.2 Case Study CS.2 -- 4.3 Case Study CS.3 -- 4.4 Case Study CS.4 -- 4.5 Case Study CS.5 -- 4.6 Case Study CS.6
Sommario/riassunto: This book presents a novel model for clustering and time series prediction using artificial neural networks to simulate cognitive functions of the brain. It explores intelligent hybrid neural systems applied to time series analysis and decision support systems. Addressing the complexity of global indicators, the work integrates Type-1, Interval Type-2, and Generalized Type-2 fuzzy systems to analyze multiple case studies like traffic accidents, air quality, and various socio-economic factors. The authors aim to enhance understanding of data-driven decision-making and long-term governance strategies. Targeted at researchers and practitioners in computational intelligence, the book is grounded in the latest advancements in neural networks and fuzzy logic.
Titolo autorizzato: Clustering, Classification, and Time Series Prediction by Using Artificial Neural Networks  Visualizza cluster
ISBN: 9783031711015
3031711017
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910890185703321
Lo trovi qui: Univ. Federico II
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Serie: SpringerBriefs in Applied Sciences and Technology Series