Application of Machine Learning Methods in Modeling Hydrolithospheric Processes

Autor:	Sergey Sizov, I. M. Pershin, Tatiana Drovosekova
Rok vydání:	2021
Předmět:	Artificial neural network Computer science business.industry Information model Verifiable secret sharing Geological exploration Artificial intelligence Machine learning computer.software_genre business Object (computer science) computer
Zdroj:	Communications in Computer and Information Science ISBN: 9789811614798
DOI:	10.1007/978-981-16-1480-4_38
Popis:	One of the most urgent problems in the study and analysis of hydrolithospheric processes is the construction of verifiable mathematical and computer models that make it possible to predict the behavior of an object under various initial conditions and input influences. Recently, machine learning methods have been increasingly used in geological research. This paper discusses machine learning methods used in geological exploration to automate data analysis, as well as used for neural network information modeling of geological objects.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::5be4e98e3a126ccab696ea61639dabd2 https://doi.org/10.1007/978-981-16-1480-4_38 Zobrazit plný text záznamu