Research on the Application of F-TabNet Model in the Optimization of Engineering Bidding
To enhance the accuracy and rationality of bidding decisions in engineering projects,this paper utilizes the fuzzy comprehensive appraisal(FCA)method to address the ambiguous factors within the evaluation indicator system and integrates this with the TabNet model for an innovative optimization of the bidding evaluation method.Not only does this research involve feature selection,model training and prediction,but it also introduces an original F-TabNet evaluation model,which effectively leverages the great expressive power of the TabNet network.The findings verify the application value of the F-TabNet evaluation method in the bidding process for engineering projects.The method can not only precisely predict the bidding outcomes,but also have a robust interpretability.It has an important significance for promoting the scientification and rationalization of project bidding decisions.
project bidding evaluationF-TabNet modelfeature selectiondecision accuracydata analysis and prediction
万方数据
维普
