A Prediction Method for High-quality Development of Enterprises Based on Deep Learning
Y. H. Wang · 2023
With the rapid development of science and technology, deep learning has been widely used in various fields. It is an important task for enterprises in Jilin Province to make relevant forecast. This paper studies the effective analysis and evaluation of neural network, fuzzy mathematics and other methods when obtaining the original sample information and training errors cause the prediction results to deviate from the real situation, and puts forward the improvement methods and suggestions. In this paper, deep learning technology is used to construct a prediction model. Through the simulation test, the accuracy of its prediction in the four aspects of financial index, market demand, customer behavior and supply chain is above 90%. The recall rate is above 0.65; The average absolute error range is 0.057 ∼ 0.095. The experimental results show that the prediction model can meet the user's needs.