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Více o knize
Focusing on type-3 fuzzy logic, this book explores its application in time series prediction, emphasizing its superiority in managing uncertainty for enhanced results. It integrates neural networks and fractal theory, presenting various hybrid intelligent methods tested on real-world prediction challenges such as COVID-19 and stock market trends. Aimed at scientists and engineers, it serves as a comprehensive reference for graduate courses in soft computing and related fields, while also inspiring new research avenues in intelligent prediction methodologies.
Nákup knihy
Type-3 Fuzzy Logic in Time Series Prediction, Oscar Castillo, Patricia Melin
- Jazyk
- Rok vydání
- 2024
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Doručení
Platební metody
Navrhnout úpravu
- Titul
- Type-3 Fuzzy Logic in Time Series Prediction
- Jazyk
- anglicky
- Autoři
- Oscar Castillo, Patricia Melin
- Vydavatel
- Springer Nature Switzerland
- Vydavatel
- 2024
- Vazba
- měkká
- Počet stran
- 108
- ISBN13
- 9783031597138
- Kategorie
- Matematika
- Anotace
- Focusing on type-3 fuzzy logic, this book explores its application in time series prediction, emphasizing its superiority in managing uncertainty for enhanced results. It integrates neural networks and fractal theory, presenting various hybrid intelligent methods tested on real-world prediction challenges such as COVID-19 and stock market trends. Aimed at scientists and engineers, it serves as a comprehensive reference for graduate courses in soft computing and related fields, while also inspiring new research avenues in intelligent prediction methodologies.