Research On Shared Resource Integration Method Based On BP Neural Network

The proposal of the CPC Central Committee on formulating the 13th five-year Plan for National Economic and Social Development points out that sharing is the essential requirement of socialism with Chinese characteristics,and shared development is a profound change related to the development of socialism in China.Then,in the report of the 19th CPC National Congress,five development concepts,such as innovation,coordination,green,opening and sharing,are put forward,and our country actively practices the new development concept.At present,China is in an important period of supply-side reform.Resource sharing is in line with the general direction of supply-side structural reform,and resource sharing has promoted the prosperity and development of China's economy.Although great achievements have been made in realizing resource sharing,there are still many Problems,such as low resource sharing,many idle resources and uneven distribution,resource islands and so on.Therefore,in this paper,the integration theory is applied to the field of shared resource utilization,and the scattered and idle shared resources are scientifically integrated to deal with the low degree of resource sharing and inefficient utilization in resource utilization.This paper studies the method of shared resource integration based on BP neural network:firstly,according to its own characteristics,the shared resources in social system are divided into four categories:physical object,information,ability and knowledge.An improved MG-DPC algorithm is proposed to cluster similar shared resources.At the same time,the integration unit,integration technology and integration goal of shared resources are studied.Secondly,the foundation and method of shared resource integration are deeply studied,and the principle of shared resource integration is clarified,and the shared resource integration model based on BP neural network is constructed.Finally,taking the shared resources of colleges and universities as an example,this paper makes an empirical study to analyze the main body,integration unit and integration of university integration.Objective,the integration unit is used as the input layer node of the model,and the model training and simulation are carried out.Aiming at the main control factors and integration prediction analysis obtained from the intelligent analysis of the shared resource integration model,the corresponding countermeasures are put forward.In this paper,an improved clustering analysis method of shared resources is proposed,which can effectively sort out the shared resources as integration units.The model of shared resource integration is constructed innovatively,which enriches the theory and method of shared resource integration,and broadens the research and application field of integration theory and neural network method.The shared resource integration method can realize resource sharing,which is of great significance to the optimal allocation of resources,the maximization of economic benefits,sustainable development and environmental protection.