首页|Findings on Machine Learning Discussed by Investigators at Wenzhou University (D ynamic Prediction of Landslide Life Expectancy Using Ensemble System Incorporati ng Classical Prediction Models and Machine Learning)

Findings on Machine Learning Discussed by Investigators at Wenzhou University (D ynamic Prediction of Landslide Life Expectancy Using Ensemble System Incorporati ng Classical Prediction Models and Machine Learning)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in Machine Learning. According to news reporting originating in Wenzhou, People's Republic of China, by NewsRx journalists, research stated, "With the development of land slide monitoring system, many attempts have been made to predict landslide failu re-time utilizing monitoring data of displacements. Classical models (e.g., Verh ulst, GM (1,1), and Saito models) that consider the characteristics of landslide displacement to determine the failuretime have been investigated extensively." Financial supporters for this research include Natural Science Foundation of Hun an Province, Special Fund for Safety Production Prevention and Emergency of Huna n Province, Research Project of Geological Bureau of Hunan Province, Fund of Wen zhou Municipal Science and Technology Bureau, Fundamental Research Funds for Cen tral Universities of the Central South University.

WenzhouPeople's Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningWenzhou University

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Mar.6)