Development and Research of a Modified Gradient Boosting Method Effectiveness to Solve Applied Problems of Time-Series Forecasting

The article considers the problem of increasing the accuracy of the gradient boosting method when forecasting timeseries (including demand for equipment or other goods). The aim of the study is to develop a modified gradient boosting method of decision trees for this forecasting. The relevance of th...

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Veröffentlicht in:	Systems of Signals Generating and Processing in the Field of on Board Communications (Online) S. 1 - 10
Hauptverfasser:	Fatkhulin, Timur, Leokhin, Yuri, Zanegin, Alexey, Rakhmatova, Aziza
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 12.03.2025
Schlagworte:	Accuracy algorithm anomalies Boosting Clustering algorithms Decision trees demand Forecasting gradient boosting machine learning Machine learning algorithms method Overfitting Telecommunications time-series Training Tuning
ISSN:	2768-0118
Online-Zugang:	Volltext
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