IJSEA Volume 12 Issue 6

Relevance Intelligent Analysis Software Design of Psychological Capital Prediction Algorithm Based on SVM Algorithm to Assist Education

Fu Feng
10.7763/IJSEA1206.1017
keywords : Relevance Intelligent Analysis, Psychological Capital Prediction, SVM Algorithm, Education

PDF
Using this large-scale and complex data from the perspective of AI, and inferring students' learning needs by analyzing students' learning behavior data, psychological capital can significantly predict the psychological harmony level of military officers and soldiers, and can explain 30.3% of the variance of psychological harmony. Psychological capital has a partial mediating effect between emotional intelligence and psychological harmony, and the mediating effect accounts for 72.64% of the total effect. Provide students with different levels of claws beyond the basic content, biochemical learning content and assessment indicators, and the commonly used MHC prediction algorithms SVMHC and SYFPEITHI have better prediction accuracy. Influence of test data set size on test results.
@artical{f1262023ijsea12061017,
Title = "Relevance Intelligent Analysis Software Design of Psychological Capital Prediction Algorithm Based on SVM Algorithm to Assist Education",
Journal ="International Journal of Science and Engineering Applications (IJSEA)",
Volume = "12",
Issue ="6",
Pages ="61 - 63",
Year = "2023",
Authors ="Fu Feng"}