Prediction Algorithm of Guiding Effectiveness based on Fuzzy Data Network Structure Specification with Character Color Class
Zhenping Yuan · 2022 International Conference on Inventive Computation Technologies (ICICT) · 2022
This paper summarizes the short-term market forecast of teaching effectiveness and the theoretical basis of fuzzy theory and deep belief network, studies the learning algorithm of DBN model, and constructs a fuzzy deep learning network model for stock price forecasting through experiments. For the first time, the deep learning network was applied to the market prediction of teaching effectiveness, and the model effect was tested and analyzed, and the DBN was determined through experiments to have the most structure. The abnormal teaching evaluation data was eliminated by using the improved cosine dissimilarity algorithm, and the normalization method was adopted. The standardization method standardizes the evaluation data, and uses the traditional K-modes algorithm to perform a preliminary cluster analysis on the evaluation data, and points out three problems.