Research on Fraud Recognition in Telecommunication Network Using Neural Network Model Constructed by Keras
This study aims to explore the application of deep learning model in telecommunication network fraud recognition.Using the neural network model based on Keras,the fraud data set is prepared and the model is designed in detail,and the model training method is described in detail.The experimental results show that compared with the benchmark model,the neural network model designed in this paper has significantly improved the accuracy rate,accuracy rate,recall rate,F1 score and other evaluation indicators,especially when dealing with unbalanced data sets.This study provides an effective deep learning solution for telecommunication network fraud identification,and provides reference for further research and practice in related fields.