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For improving the forecasting accuracy of bank cash flow, a combined model based on back propagation (BP) neural network and grey prediction method is put forward based on the merits and demerits of both BP neural network and grey model prediction method. The proposed method has the advantage of two methods and makes up the deficiencies of single model as well. It can efficiently reduce the influence...
In the spectral-type subspace segmentation models, the rank minimization problem was relaxed as Nuclear Norm Minimization(NNM) problem. However, to guarantee the success of NNM, one needs some strict conditions, and NNM may yield the matrix with much higher rank than the real one. In this paper, the L1/2 regularization is introduced into the low-rank spectral-type subspace segmentation model, combining...
The paper proposed a network path situation assessment scheme, in which the basic probability assignment function of the local status and the stale path status could be achieved using fuzzy set. And the metrics situation set became the evidences of the path situation decision. Thus, the path situation set would be built from the fused evidences by evidence theory. The situation with the maximal confidence...
Land use change plays vital roles in regional, social and economic development. Based on three phases of NDVI and climate images acquired in 1982, 1990 and 1998, and fuzzy rule-based classification, this paper took China as a case study to analyze spatial change of land use by combining NDVI, Landscape indices and transformation matrix. The research results indicate that land use has grown more and...
Wireless sensor localization has become an essential requirement for realistic applications over wireless sensor networks (WSNs). Although some other systems have been proposed, these methods normally require heavy computational processes to overcome the presence of these errors. Because coarse accuracy is sufficient for most sensor network applications, a method for estimating unknown node positions...
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