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In order to prevent the financial risks of enterprises effectively, the risks evaluation is of great importance. This paper analyses the main factors that affect enterprise financial risks by using the T-test and nonparametric test in statistical software SPSS15.0 and the gray relevance theory (GRA). These factors are considered as the input variables of BP neural network and 56 enterprises are selected...
In indoor environment, there are gross errors in random measured values of base station, which has effect on generalization ability of BP neural network and then results in low location accuracy. In order to improve location accuracy, location algorithm of BP Neural Network based on residual analysis is proposed, namely conducting pretreatment on measured values separately in training phase and location...
Corporation financial distress has been an important issue for study in the financial fields. This paper uses traditional BP neural network model and proposes PNN model to predicate financial distress. The sample consists of 276 companies listed on the Shanghai Stock Exchange and Shenzhen Stock Exchange over the period 2001–2010. Factor analysis is used to lower correlation and reduce dimensionality...
This paper discussed the application of Blind Sources Separation (BSS) in plant leaves classification. Firstly, collection of two different types of plant leaves was performed using the Nexus-870 Fourier transform infrared spectroscopy, and wavelet analysis was adopted to compress the immense sample data, thus accelerating the data processing speed. Then the BSS algorithm FastICA algorithm was used...
Obtaining color constancy is the study focuses in the field of image vision which does not alter with light source illumination modification. In consideration of the influence of the light source fluctuations on the image color, this paper puts forward an image color constancy algorithm based on BP neural network. This algorithm was used for testing different light source and illumination intensity...
Agricultural products information on the Internet is constructed repeatedly, the content is haphazard and sharing resources can not be used, then a classification of improved neural network which is based on the adjustment and optimization of the weight is presented. The adjustment of weight, optimization of network structure and reasonable adjustment of parameters of BP neural network are discussed,...
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