Analysis and Prediction of Vertical Office Network Bandwidth Using a Backpropagation-Based Neural Network
Year: 2025
Type: article
Abstract: The Backpropagation-Based Neural Network algorithm is a supervised learning method designed to solve complex tasks such as identification, prediction, and pattern recognition [11], [12], [13].The predictive capability of the Backpropagation algorithm is developed through a process of learning based on historical data.This process allows the algorithm to identify and internalize complex patterns within the data, thereby enabling it to produce predictive results for future data [14], [15].The study of electricity consumption forecasting in North Sumatra [16] highlights the increasing demand for electrical energy, requiring accurate predictions to support effective policy-making.Forecasting is crucial for ensuring sufficient supply, as electricity demand is influenced by population growth, customer categories, and regional economic activity.The Backpropagation Neural Network method was applied using six input variables, including Research ArticleOpen Access (CC-BY-SA)
Source: ILKOM Jurnal Ilmiah
Institution: Gunadarma University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $65
OpenAlex ID: W4415118012
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