Psychological Crisis Identification Method of Innovation and Entrepreneurship Teachers Based on Multi-Source Information Fusion.
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| Název: | Psychological Crisis Identification Method of Innovation and Entrepreneurship Teachers Based on Multi-Source Information Fusion. |
|---|---|
| Autoři: | Liang, Feng, Li, Panpan |
| Zdroj: | International Journal of High Speed Electronics & Systems; Dec2025, Vol. 34 Issue 4, p1-25, 25p |
| Témata: | TEACHER development, CONVOLUTIONAL neural networks, LEAST squares, DATABASES, INFORMATION theory |
| Abstrakt: | In order to improve the quality of teachers' professional development and ensure their healthy life, a method of identifying the psychological crisis of innovative and entrepreneurial teachers based on multi-source information fusion is proposed. This method uses application programming interface (API) and Java DataBase Connectivity (JDBC) technology to collect teachers' multi-source psychological information from the microblog platform, uses CHI-PCA hybrid feature dimensionality reduction method to implement dimensionality reduction processing on the psychological information of innovation and entrepreneurship teachers, and uses D–S reasoning to achieve multi-source integration of teachers' psychological information based on the dimensionality reduction processing of teachers' psychological information. The teacher's psychological information after multi-source fusion is used as input, and the recognition of teacher's psychological crisis is realized through bilinear convolution neural network (BCNN) and support least squares vector machine. The experimental results show that this method has a strong ability to collect teachers' multi-source psychological information, which can effectively identify the psychological crisis of innovation and entrepreneurship teachers in a period of time, and the application effect is relatively significant. [ABSTRACT FROM AUTHOR] |
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| Databáze: | Complementary Index |
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