Design And Implementation Of Steel Stock Forecasting System Based On Optimized BP Algorithm

The iron and steel industry is an indispensable part of the development of the national economy.It is also the main driving force for China to become a manufacturing power country.The steel industry is an important part of the iron and steel industry.However,at present,China's steel industry is still in the developing stage.There are so many serious problems,such as excessive investment,unmatched results,and serious waste of resources.However,the unreasonable inventory management of steel companies has caused the waste of resources.The urgent issue is how to accurately predict steel inventory to optimize steel inventory management.Therefore,this thesis aims to work out a reasonable steel inventory forecasting system.The main research content of this thesis are followings:(1)To study the status quo of steel stock management at home and abroad,and enter the actual steel company for investigation.By analyzing the business process of steel stock management to classify the steel and the factors that affect its demand.(2)Studying and comparing the domestic and foreign prediction algorithms,and choosing BA(Bat Algorithm)to optimize the BP neural network and establish the prediction model.Then using the actual data for model testing to verify the effectiveness of the BA-BP model.(3)Research on data exchange and encryption/decryption algorithms,combining the two technologies to achieve data exchange between various nodes in the steel industry chain.Applying the shared data to the prediction model is to improve the accuracy of inventory forecasting results.(4)Demand analysis of steel inventory forecasting system,applying the research results to the inventory management system,designing and developing a steel inventory forecasting system which integrating system management,inventory forecasting,business management,inventory management and comprehensive inquiry.The system was tested to verify the feasibility and reliability of the system.The achievements of this thesis:(1)The BA-BP algorithm was applied to steel stock forecasting to optimize the rationality of inventory management and reduce resource waste.(2)Combining Web Service technology and DES encryption and decryption algorithm to achieve a safe data exchange,through the sharing of information,improve the accuracy of steel inventory forecasting.(3)To optimize the business process by using the visualization chart technology.Then providing users with clear and explicit information display,and to improve the user experience and office efficiency.