Research on Prediction of User's Entrepreneurial Learning Behavior based on Neural Network

Abstract

This study aims to explore the predictive capability of neural networks in user entrepreneurial learning behavior. Traditional methods have limitations in predicting user entrepreneurial learning behavior. Therefore, neural networks are adopted as predictive models, analyzing multidimensional data such as user personal information, learning history, and learning behavior. The research methodology includes data collection and preprocessing, feature engineering, design and training of neural network models, as well as evaluation and interpretation of prediction results. Through experimentation and result analysis, the neural network models demonstrate good accuracy and predictive ability in forecasting user entrepreneurial learning behavior. The research results further explain the key factors influencing user entrepreneurial learning behavior and provide insights for improving entrepreneurial education and learning platforms. This study offers new methods and theoretical foundations for predicting user entrepreneurial learning behavior, significantly contributing to enhancing learning outcomes and entrepreneurial success rates for entrepreneurs.