The impact of CNN MHAM-enhanced WRF and BPNN models for user behavior prediction

The impact of CNN MHAM-enhanced WRF and BPNN models for user behavior prediction

Abstract To address the challenge of user behavior prediction on artificial intelligence (AI)-based online education platforms, this study proposes a novel ensemble model. The model combines the strengths of Convolutional Neural Network (CNN), Multi-Head Attention Mechanism (MHAM), Weighted Random F...

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Bibliographic Details
Main Authors: Kaixin Zheng, Zhensen Liang
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
User behavior prediction
Weighted random forest
Back propagation neural network
Online education
Resource configuration
Online Access:https://doi.org/10.1038/s41598-025-15424-8
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https://doi.org/10.1038/s41598-025-15424-8

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