Simulation of an Artificial Intelligence Behavior Analysis Model Based on Neural Network Algorithm

AI (Artificial Intelligence) behavior analysis is a powerful tool, which can help us better understand and predict human behavior and provide support for decision-making in various fields. This paper aims to design an efficient and accurate user behavior analysis model by combining NN (Neural Network) algorithm module and behavior analysis module. In order to achieve this goal, this paper adopts CNN (Convolutional Neural Network) as the core algorithm, and combines with specific business needs and scenarios to formulate behavior analysis strategies. After a series of experiments, the proposed algorithm can quickly identify and classify different user behaviors, and has high accuracy in identifying user behaviors. Its MAPE value is only 0.251, which is significantly better than other comparison algorithms. At the same time, the algorithm shows high efficiency in different scale data sets. In addition, sensitivity analysis and scene test are carried out to verify the adaptability and stability of the model under various conditions and scenarios. By studying the application of NN algorithm in the field of user behavior analysis, we can further enrich and perfect the theoretical system in the field of AI, and promote the improvement and innovation of related algorithms.