Design and application of an intelligent financial audit model based on GWO-LSTM
At present,the audit process is complex and cumbersome,and the development of intelligent au-dit has become a trend.In order to improve the quality of audit,this article establishes an intelligent finan-cial audit model based on audit opinions for predicting financial statements in the context of big data.Be-sides,a prediction model for audit opinions based on the fusion of Grey Wolf Algorithm(GWO)and Long Short Term Memory Network(LSTM)is proposed.Firstly,the financial indicator system is adopted to con-struct the effective audit opinions for describing financial parameters,and the Grey Wolf Optimization Algo-rithm(GWO)combined with adaptive learning mechanism are utilized to optimize and search for key hy-perparameters of the LSTM model.By using this method,the model is trained to obtain a well trained pre-dictive model,which can scientifically predict future audit opinions,thus improving the efficiency of audit data analysis.
万方数据
维普
