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Based on the problem of the difficulty to set up the precise models for the information fuse method which bases on the Kalman filters, a new method based on the autoregression (AR) model is put forward in this paper. This method is one of the time series analysis methods, which uses the temporal correlation between the errors data to set up the AR model, and then the estimation results are utilized...
Introduces technological innovation index and human capital index to the financial crisis forecast system of listed manufacturing companies in Yangtze River Delta, choosing significant indicators by t-test and principal component analysis. Then the results are predicted on the basis of BP neural network.
Traditional wavelet shrinkage de-noising methods always produce Pseudo-Gibbs oscillations when sensor signals contain jump discontinuity points. In order to solve this problem, this paper presents a wavelet shrinkage de-noising algorithm based on reversible translation. The algorithm can eliminate Pseudo-Gibbs oscillations by removing the discontinuity points. Its rationality is proven theoretically...
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