Analysis of digital intelligent financial audit system based on improved BiLSTM neural network

• Published in: Nonlinear engineering Vol. 14; no. 1; pp. 1576 - 88
• Main Author: Zhu, Xincai
• Format: Journal Article
• Language: English
• Published: Berlin De Gruyter 03.07.2025; Walter de Gruyter GmbH
• Subjects: Algorithms; Artificial neural networks; Audits; BiLSTM; CNN; Data analysis; data prediction; Feature recognition; financial analysis; Machine learning; Neural networks; Radial basis function; RBF

Traditional auditing methods have difficulties in detecting various financial issues hidden in massive amounts of data. With the continuous advancement of deep learning and digital technology, new audit methods have been provided for computer auditing. Therefore, in order to achieve intelligent anal...