Design of BP neural network demonstration software based on Qt
BP neural network algorithm is a typical neural network algorithm,which has a wide range of applications.In order to display the complete process of training and verifying data of the algorithm intuitively,this paper designs a BP neural network demonstration software based on the localization platform Qt,and uses the graphical controller of Qt to realize result demonstration of the algorithm.Firstly,the basic principle,formula derivation and workflow of BP neural network are introduced,and then Qt is used to realize the algorithm and draw a graphical interface.Then the algorithm is used to train and verify the iris dataset,and the verification results are displayed on the interface.After experiment verification,the software can support BP neural network algorithm running and result display,and can meet the related requirements of software design.
万方数据
维普
