Research on Recommendation Model of College English MOOC based on Hybrid Recommendation Algorithm

نویسندگان

چکیده

Establishing a reasonable and efficient compulsory education balance index system is very important to boost the all-around of development, then realize course recommendation for students with different attributes. Based on this, research aimed at problems in college English evaluation, establish MOOC evaluation based improved neural network algorithm. The first constructed data elements, established genetic algorithm (BP Neural Network Optimization Algorithm Genetic Algorithm, GA-BP), finally analyzed effect assembled model. These results show that fitness GA-BP model reaches set expectation when evolutionary algebra 10 times, its 0.6. corresponding threshold weight are obtained, substituted into After repeated iterative training, reached an error 10-3 it was trained 12 expected accuracy achieved. R value each hovered around 0.97, fitting degree high, which showed proposed study had better degree. difference between output mainly distributed [-0.08083, 0.06481] interval. To sum up, has excellent evaluation. This faster learning rate higher prediction more stable performance.

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ژورنال

عنوان ژورنال: International Journal of Advanced Computer Science and Applications

سال: 2023

ISSN: ['2158-107X', '2156-5570']

DOI: https://doi.org/10.14569/ijacsa.2023.0140464