№ files_lp_4_process_3_111246
The document presents a novel weight initialization method for artificial neural networks (ANNs) applied to univariate time series forecasting, proposing a data-driven approach based on kernel density estimators to optimize performance.
Year: 2022
Region / City: Mugla, Turkey
Topic: Artificial Neural Networks, Time Series Forecasting, Machine Learning
Document Type: Research Paper
Organization / Institution: Mugla Sitki Kocman University, Department of Statistics
Author: Cagatay BAL, Serdar DEMIR
Target Audience: Researchers, Machine Learning Practitioners, Academics
Period of Validity: N/A
Approval Date: N/A
Date of Changes: N/A
Price: 8 / 10 USD
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