Neural Network Algorithms and Big Data Technology in the Construction of Intelligent Data Models

It is a very difficult question to process and store large-scale data. The purpose of this article is to explore the application of neural network algorithms and big data technologies in the construction of intelligent data models. The LSTM model used in the article extracts features from the input data through learning, and classifies, predicts, and makes decisions based on these features; secondly, data mining techniques are selected to discover potential patterns and correlation laws, and provide more comprehensive information support for the construction of intelligent data models. The article summarizes the application fields of neural network algorithms and big data technologies in the construction of intelligent data models, and shows the great potential of neural network algorithms and big data technologies in improving data analysis and decision-making capabilities. The research results show that the F1 value of the method in this paper is between O. 85–0. 95, and the combination of neural network algorithm and big data technology has achieved remarkable results in the construction of intelligent data models.