A hybrid model for predicting academic performance of engineering undergraduates.
Ke NiuBaoting JiaYuhang ZhouGuoQiang LuPublished in: Int. J. Model. Simul. Sci. Comput. (2023)
Keyphrases
- hybrid model
- artificial neural networks
- computer engineering
- hybrid models
- support vector regression
- engineering design
- back propagation neural network
- undergraduate engineering
- forecasting accuracy
- software engineering
- support vector machine svm
- graduate students
- electrical engineering
- computer science
- artificial intelligence
- engineering problems
- long term
- national university
- data sets