Bonakdari, Hossein

Machine learning in earth, environmental and planetary sciences: theoretical and practical applications - Cambridge Elsevier 2023 - xvii, 370 p. ilus.

Incluye referencias bibliográficas e índice



Chapter 1: Dataset preparation -- Chapter 2: Preprocessing approaches -- Chapter 3:- Postprocessing approaches -- Chapter 4: Non-tuned single-layer feed-forward neural network learning machine—concept -- Chapter 5: Non-tuned single-layer feed-forward neural network learning machine—coding and implementation -- Chapter 6: Outlier-based models of the non-tuned neural network—concept -- Chapter 7: Outlier-based models of the non-tuned neural network—coding and implementation -- Chapter 8: Online sequential non-tuned neural network—concept -- Chapter 9: Online sequential nontuned neural network—coding and implementation -- Chapter 10: Self-adaptive evolutionary of non-tuned neural network—concept -- Chapter 11: Self-adaptive evolutionary of non-tuned neural network—coding and implementation

978-0-443-15284-9


CIENCIAS DE LA TIERRA
CIENCIAS AMBIENTALES
APRENDIZAJE AUTOMATICO
ANALISIS DE DATOS