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The paper studies the application of principal component analysis and ANN (Artificial Neural Networks) for pre-warning of enterprise financial crisis, analyzes the factors of financial crisis, and constructs the model of the enterprise financial crisis with principal component analysis and ANN. It integrates simplifying of enterprise financial crisis index, dynamic learning of financial crisis knowledge...
In this paper, we studied the two most commonly used artificial intelligence methods (Multilayer Perceptron and Radial Basis Function network) to build the credit scoring model of applications, and analyzed the most important restraining factors of the applications of neural network which is the exponential increase in the variables bringing the model over-complex. On this basis, the author combines...
With the economic development of the emerging market countries, bankruptcy and financial crisis occur more and more frequently in business, credit and savings institutions, and thus the demand for enterprise financial crisis prewarning is rapidly growing. The main purpose of this paper to build a business financial crisis prewarning model based on BP neural network to conduct empirical analysis of...
This paper use Microsoft SQL Server 2005 data mining tools and three methods of neural networks, decision trees and logistic regression to establish the financial crisis early-warning model of listed companies. The conclusion is that the three kinds of methods have good results and the prediction accuracy rate are 80% or more. The accuracy of the decision tree algorithm model is higher than others.
Credit Risk Identification in small and medium enterprises(SMEs) is a real problem which is necessary to be solved in financial sector. Focusing on 32 small and medium enterprises which had bank loan, dimension of six indicators used to judge whether enterprises had credit risk was reduced to simplify model by adopting the factor analysis method. Then small sample data was trained and simulated in...
This study aims at the basis of patent law and proposes an integrated evaluator constructed by a revolutionary evaluation model. Regardless of stock performance or revenue generated by the enterprise, the damage award of a patent infringement lawsuit is deemed to be a legal value of a patent in view of the patent law. Effective samples are extracted from 4,289 patent infringement lawsuits retrieved...
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