RETRACTED: Enterprise financial cost management platform based on FPGA and neural network

Abstract

At present, the domestic costs of most construction companies are relatively scattered with the cost data of various business agents. Unless it is controlled by an experienced manager, decision-makers cannot have the real-time dynamic cost of a project. In the information age, it is of vital importance to use the information to control the cost of construction projects dynamically. Cost management and the establishment of an information platform are ways to control the platform integrated cost data, operators, computer software and hardware, and corresponding method information, and its core is cost data information. The place for financial cost analysis and decision making is a conceptually rich field where information is a commercial product which is complicated, extensive, and invaluable. In this model, first,a set of extracts from the macro-credit feature space is designed and then, FPGA and neural network (FPGA, NN) models for credit evaluation is built based on these indicators, eventually it is applied scientifically, and reasonably, practically. Several state credit metrics are randomly selected. Our model shows applications that are both practical and competent. Using this model, authorities can analyze local credit conditions, allowing investors to make wise decisions to invest while saving on operating and credit costs. Most importantly, this model can help impulsive local government leaders, businesses, and even everyone to enhance competitiveness and capacities of attractive regions, thereby foster a good atmosphere for a credit culture.