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A Research Of RBF-Neuronetwork Financial Dilemma Warning Model Based On Dupont System

Posted on:2012-08-08Degree:MasterType:Thesis
Country:ChinaCandidate:Y LiuFull Text:PDF
GTID:2189330332498452Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
With the vigorous development of China's economy, the development of China's financial market is more advance by leaps and bounds, short for more than 20 years to achieve the great achievements. Financial market by establishing the make resources obtained reasonable configuration and fully utilized, and enormously promoted the economic development. A listed company may KuoZi through capital market financing, to expand the business expand market share to promote enterprise development, the individual investors can through the capital market and the financial markets for their investment activities, on the one hand, increase income approach, on the one hand, improve the reasonable allocation of private capital increase use of the capital. So capital development of financial market conditions is vital. As financial markets for the listed company, it is main the healthy development of the growth of about financial markets. From this year, with the economic crisis, whether financial market highly developed developed countries or financial market preliminary establishment of developing countries show many problems, centennial bank may declare collapse, surface burnishing the company instantly, these circumstances either closed to the national economy for all the investors or caused very bad effect, on the one hand, the healthy development of the national economy influence, on one hand, hit investor confidence and enthusiasm for financial markets, so the management and supervision of the listed companies become great responsibility to state regulators, and of the listed company, the real intuitive operation state performance and the forecast for the investors deep into is expected. Based on the above economic background and the reality, this paper aims to financial difficulties in listed companies do some research, in order to establish an effective financial early-warning model for all the investors services for its investment behavior, offer some advice. In this paper, the author defines the concept of financial difficulties, in order to define the scope of analysis object and brief introduction financial woes of the general conditions. Because this is the analysis of the listed company to, then according to the analysis of financial difficulties, occurred financial difficulties the most intuitionistic is company losses, so analysis from listed company operating state finances, and analyzes its financial statements. This is the vast majority of the starting point of the study, the importance of company financial statement analysis is self-evident. So, also appeared a lot of analysis method, the general idea is a choice of financial indicators of mathematical analysis, then do with will economic problems into math problems. This paper financial analysis method based on analysis system of dupont company financial index layer upon layer decomposition, finally found closely, representative strong financial index combination. Dupont analysis system is a kind of method for financial ratios, it can be decomposed to an enterprise's financial position analysis, fully understand and appraise enterprise financial status for the company managers make decisions to provide effective financial information support, provide a reliable guarantee for the company's decision by these advantages dupont system, was also widely used. In this paper, we consider from the Angle of economics and finance learn to extract samples index characteristics more theoretical basis, more persuasive.Based on whether the company was ST define company ever happened, because the listed company financial crisis by ST refers to the average company will appear two years of losses conditions, so could qualify as ST company is the presence of financial difficulties companies, which is also the general research methods such problems. Do the financial analysis of the listed company, after the model. Any theory, this paper studies the premise is to assume that the listed company premise only by the influence of its business operation and financial statements really reflect the problem, other interference factors not taken into consideration. This article chooses modeling method is using artificial intelligence RBF neural network theory, artificial neural network model is built according to the brain and biological neural network modeling mechanism to abstract the, he has come out from environmental worthiness in their learning environment changes, similar to a biological can adaptive environment characteristics. RBF neural network can understand is composed by two mapping, a input to hidden from the nonlinear mapping, one is the output layer, making the linear mapping non-linear problem with linear problem solving out last, and because RBF neural network with strong function approximation ability, as long as the experimental sample size is big enough, it can in any precision approximate nonlinear function, model under the establishment of the function is to find such substance to solve practical problems, so this text classification of RBF neural network model establishment choice. Through the analysis, will build a network model for establishing network to the problem of three levels in three levels, is input layer, hidden and output layer. Input the training sample data input layer, data represented by vector data element is financial analysis, financial index of the portfolio. Hidden is produced to input, namely excitation response with radial basis function of input into play. The output layer on layer is to the role of linear combination, can say the results as summarize the result. Has established three levels in some important problem is sure sample center position, determine the number of large weights and expand constants, training model parameters such as the process is actually training parameters of the idea is, this paper first general determine reasonable range of number, then over a very large number of trials, the iterative optimization. Through the experimental data analysis, find out the conclusion with the changing of parameter model conclusion law, because changes of data more so to do conclusion analysis planned do parameter combination analysis, to see the influence of various combinations of model, and finally establish stable model.Since this network model experiment volume calculation so this paper selection procedures to complete experiment designed. Program design according to the established three levels of steps to complete. The last model validation stages more satisfied with the conclusions will be confirmed, but it won't necessarily general conclusion, its universality remains to be verification, the end of the article and the advantages and disadvantages of the RBF network gives evaluation.
Keywords/Search Tags:Financial dilemma, RBF neural network, Dupont system, ST
PDF Full Text Request
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