An Optimal Fuzzy Neural Network Prediction Model for Student Performance Prediction in Online Education

In the time of boost of the Internet, online education is also thriving, but how to grasp the performance of students in the context of online education has become a major problem in the current online education. In response to the above problems, the study proposes the Principal Component Analysis Algorithm (PCA), Adaptive Network-based Fuzzy Inference System (ANFIS) and Genetic Algorithm (GA) for secondary school students

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Publication Details

Journal
IEIE Transactions on Smart Processing and Computing
Published
2024-10-31
DOI
https://doi.org/10.5573/ieiespc.2024.13.5.462
Primary Topic
Advanced Decision-Making Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

An Optimal Fuzzy Neural Network Prediction Model for Student Performance Prediction in Online Education

Pu Jing, Yuke Li
IEIE Transactions on Smart Processing and Computing
Advanced Decision-Making Techniques
article

An Optimal Fuzzy Neural Network Prediction Model for Student Performance Prediction in Online Education

Pu Jing, Yuke Li
article en

Abstract

In the time of boost of the Internet, online education is also thriving, but how to grasp the performance of students in the context of online education has become a major problem in the current online education. In response to the above problems, the study proposes the Principal Component Analysis Algorithm (PCA), Adaptive Network-based Fuzzy Inference System (ANFIS) and Genetic Algorithm (GA) for secondary school students

IEIE Transactions on Smart Processing and ComputingVol. 13(5)
Openalex Percentile: Top 70%
Advanced Decision-Making Techniques
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An Optimal Fuzzy Neural Network Prediction Model for Student Performance Prediction in Online Education — Pu Jing, Yuke Li · IEIE Transactions on Smart Processing and Computing (2024) | TGRS Research Map | TGRS