Research On Forecasting Results Of Reward Financing Based On GA-BP Neural Network Model

In recent years,the Internet finance has a profound impacton all industries with a vigorous development because of its convenient and fast characteristics.At present,the community has formed a "Internet +" background,Internet finance not only help improve the line business,online business model also has many innovations.As a product of Internet finance,Crowdfunding use the Internet to help a particular project for financing,and it is very different with the previous financing models in the form and practice.Because of its superiority,it provides a good idea for the current financing difficulties of small and medium enterprises,at the same time,it also provides direct channels for the people to participate in the financial market,enriching the people’s investment choices,The realization of private capital and the efficient docking of small and medium enterprises to ease the capital market capital shortage pressure.Therefore,the study of the Crowdfunding models for the current China’s economy has important significance.Aiming at the characteristics of the current scheme,the main body of this paper is divided into five parts.In the second part,this paper summarizes the research of the predecessors and introduces the research of the research in this paper.The second part is about the research background of the present scholars.The third part,the author focuses on the elements of the research object and the co-ordination model,and analyzes the current impact from the theory of information asymmetry,expectation theory and herding theory.Five factors,namely,project economic factors,capacity trust factors,information quality factors,project size factors and social network factors;the fourth part,according to the five influencing factors combined with "Mo point" related to the project data Select the corresponding nine variables,respectively,for the project microblogging fans,the number of projects supported by the project,the number of projects initiated by the project,whether the project has a video presentation,the number of project updates,financing time,the smallest project The amount of funds raised by the unit,the number of returns and the amount of funds raised.The GA-BP neural network is used to standardize the data,and the evaluation model of the incentive-type financing is put forward.The accuracy of the model is verified by the experimental test.Finally,this paper summarizes and gives the relevant results Suggest.The innovation of this paper lies in the combination of theoretical research and empirical analysis,and uses the genetic algorithm and BP neural network to construct the GA-BP forecasting model.In this paper,we can interpret the award-winning model in China.To obtain a number of successful guidance to provide recommendations.