E-learning and AI search decision based on deep learning algorithms application in economic and legal optimization

Abstract

Economic law is closely related to people's daily social life, which can protect and supervise people's daily and economic behavior, and has fairness and justice. In recent years, deep learning algorithms have significantly developed in the field of economic law. By utilizing this algorithm, not only can we effectively solve relevant problems in economic law, but we can also further optimize economic law efficiently. Based on this, we introduced the algorithm into search decision-making in artificial intelligence and successfully constructed an optimization model for economic law. Firstly, this article analyzes the semi supervised clustering algorithms in deep learning and proposes a learning model for comparing the algorithms. After optimization, a heuristic search algorithm with good performance was obtained. We will design the artificial intelligence search decision technology based on deep learning algorithms into the economic and legal model to obtain the final optimization model. A comparative experiment was conducted on the dataset, and the results showed that the optimization model constructed in this article provides certain assistance for the improvement of China's economic and legal system.