Study On Evaluation Of Financing Ability Of Innovative Small And Medium Enterprises Based On AHP And BP Neural Network

In the aspect of creating economic benefit and social benefit, innovation of small and medium-sized enterprises play an irreplaceable role. The development of the enterprises cannot do without the investment, and compared with the ordinary small and medium-sized enterprises, innovative small and medium enterprises prefer long-term and stable capital investment, but the pay is not equivalent to return, innovative small and medium enterprises obtain less financing support in reality. Industry competition, market competition, technical competition, to some extent, is also financial competition. In the context of financial repression, favorable policies and incentive mechanism needs to be further activation and improvement。To solve the financing difficulties, innovative small and medium enterprises have to start from their own, increase research and development, keep continuous innovation, improve market competitiveness, make their own financing ability upgrade. According to the characteristics of the innovation of small and medium enterprises, with the market environment as the starting point, this paper establishes the evaluation index of financing ability. Using AHP and BP neural network method to classify the sample enterprises qualified financing ability, but also provides a theoretical basis for the analysis of the final conclusions. The main work is as follows:(1) Clarify the research foundation, give the related concepts, current situation of enterprise financing statement, analysis of the causes of the financing difficulties of SMEs encounter;(2) Assume that the external factors (such as social environment, economic environment, market environment) unchanged, according to the principles of index system construction, select the 5 major categories of second level indicators and corresponding 20 three level indicators, and make use of AHP to construct the hierarchy structure model of evaluation on financing capability. Based on the scores given by experts, we calculated the proportion of each index;(3) We collected the relevant data of 20 innovative SMEs which met the requirements from the Shenzhen stock exchange in 2014 annual report. Based on the AHP method, we carried out the evaluation on financing capability of its classification, and used BP neural network to evaluate, forecast and compare;(4)According to the evaluation results, we will put forward financing countermeasures for innovation of small and medium enterprises:Starting from the corresponding index, innovative SMEs need to strengthen the weak, balance the stability, in order to achieve the financing advantage.