Computational Intelligence Applied to Inverse Problems in Radiative Transfer / Antônio José da Silva Neto, José Carlos Becceneri, Haroldo Fraga de Campos Velho editors

• Pubblicazione: Cham, : Springer, 2023
• Descrizione fisica: xxxviii, 228 p. : ill. ; 24 cm
• Soggetto topico: 80-XX - Classical thermodynamics, heat transfer [MSC 2020]; 80A23 - Inverse problems in thermodynamics and heat transfer [MSC 2020]; 80M50 - Optimization problems in thermodynamics and heat transfer [MSC 2020]
• Soggetto non controllato: Artificial Neural Networks; Bio-inspired algorithms; Computational intellilgence; Differential equations; Differential evolution; Genetic Algorithms; Inverse Problems; Luus-Jaakola method; Metaheuristics; Optimization; Radiation; Radiative transfer; Stochastic and hybrid methods
• Persona (resp. second.): Becceneri, José Carlos; da Silva Neto, Antônio José; de Campos Velho, Haroldo Fraga
• Titolo autorizzato: Computational Intelligence Applied to Inverse Problems in Radiative Transfer
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: VAN00278761
• Lo trovi qui: Univ. Vanvitelli
• Localizzazioni e accesso elettronico: https://doi.org/10.1007/978-3-031-43544-7