1.

Record Nr.

UNISA990005723850203316

Autore

BOURGEOIS, Bernard

Titolo

Le  droit naturel de Hegel : 1802-1803 : commentaire : contribution à l'étude de la genèse de la spéculation hégélienne à Iena / par Bernard Bourgeois

Pubbl/distr/stampa

Paris : Vrin, 1986

Descrizione fisica

666 p. ; 22 cm.

Collana

Bibliotheque d'histoire de la philosophie

Disciplina

193

Soggetti

Hegel, Georg Wilhelm Friedrich. Uber die wissenschaftlichen Behandlungsarten des Naturrechts

Collocazione

CC 193 BOU

Lingua di pubblicazione

Francese

Formato

Materiale a stampa

Livello bibliografico

Monografia



2.

Record Nr.

UNINA9910678257003321

Autore

Hajian Alireza

Titolo

Intelligent Methods with Applications in Volcanology and Seismology / / by Alireza Hajian, Giuseppe Nunnari, Roohollah Kimiaefar

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023

ISBN

3-031-15432-0

Edizione

[1st ed. 2023.]

Descrizione fisica

1 online resource (216 pages)

Collana

Advances in Volcanology, An Official Book Series of the International Association of Volcanology and Chemistry of the Earth’s Interior, , 2364-3285

Disciplina

006.3

551.21

Soggetti

Physical geography

Machine learning

Geology

Natural disasters

Earth System Sciences

Statistical Learning

Natural Hazards

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

Chapter1-Intelligent methods and motivations to use in volcanology and seismology -- Chapter2-Machine Learning: The concepts -- Chapter 3 - Machine Learning Applications in volcanology and seismology -- Chapter 4 - Deep Learning: The concepts -- Chapter 5:Deep Learning: Applications in Seismology and Volcanology -- Chapter 6: Evolutionary Algorithms with focus on Genetic Algorithm -- Chapter 7: Application of Genetic Algorithm in volcanology and seismology.

Sommario/riassunto

This book presents intelligent methods like neural, neuro-fuzzy, machine learning, deep learning and metaheuristic methods and their applications in both volcanology and seismology. The complex system of volcanoes and also earthquakes is a big challenge to identify their behavior using available models, which motivates scientists to apply non-model based methods. As there are lots of seismology and



volcanology data sets, i.e., the local and global networks, one solution is using intelligent methods in which data-based algorithms are used. .