Integrated Forecasting Method of College Financial Data Based on Deep Learning

In today’s data-driven era, the accuracy and forward-looking prediction of university financial data are of vital significance for the rational allocation of educational resources and strategic planning. However, the financial data of colleges and universities come from various sources, have complex structure, and are scattered in different database systems, which brings great challenges to data integration and prediction. In order to predict university financial data more accurately, a research on university financial data integration forecast based on deep learning is put forward. Firstly, the Ontology method is used to integrate university financial data. Through data preprocessing, a shared vocabulary is constructed, and the semantic information of college finance is expressed by means of formal ontology, and the ontology attributes of key concepts are extracted. In addition, MC algorithm is used for security processing of integrated data to ensure the security of data in distributed database, and redundant processing of integrated data to generate unified XML format integrated data. Next, with the help of deep belief network in deep learning, feature extraction and dimensionality reduction are carried out on the integrated university financial data. Then, the university financial data prediction model based on these characteristics is constructed, and the university financial data integrated prediction based on deep learning is realized. The experimental results show that the proposed method not only achieves remarkable results in data integration, but also performs well in prediction. This research not only provides a new solution for university financial data forecasting, but also has important significance in theory and practice. In theory, it enriches the theoretical framework of deep learning and data integration. In practice, by improving the accuracy of financial data forecast, the proposed method can help universities to better allocate resources and make strategic planning, and promote the sustainable development of education.