Analysison Students’ Learning Habits: Identifyingthe Contributory Factorsof Learning Duringthe Covid-19 PandemicUsing Radial Basis Function (RBF)

: The Artificial Neural Network (ANN) is an Intelligence technique that offer many benefits including the ability to process a vast amount of data, learn from experiences, and good generalization capability. It was invented based on concept imitation human brain built up nodes are like neurons. Radial Basis Function (RBF) one established types ANN. Considering advantages great performance RBF, this study aims investigate contributory factors students’ learning habits during Coronavirus Disease 2019 (or known as COVID-19) pandemic using RBF. Responses total 420 respondents were collected Vietnamese COVID-19 dataset questionnaires distributed in period 7th February 2020 28th 2020. Fifteen independent variables used input for RBF network which 15-9-1 structure. Based experiment conducted, implementation model found be fair effective with small number Sum Square Error (SSE) Relative (RE) produced. could also concluded most contributing factor hours per day self-learning before pandemic.