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Stream processing is an important emerging computational model for performing complex operations on and across multi-source, high volume, unpredictable dataflows. We present Flow, a platform for parallel and distributed stream processing system simulation that provides a flexible modeling environment for analyzing stream processing applications. The Flow stream processing system simulator is a high...
Exchange rates float with non-linear dependence and long-term memory characters, so we choose the neural network tool to forecast it. Based on the previous research work, we use two groups of data at different time-intervals to make forecasting experiments with homogenous neural network model and heterogeneous neural network model. According to the results of the experiments, we make a comparative...
Facing the present credit risk measurement academic research and practical research in our country, based on different evaluation standpoints, this article will divide the Credit Risk into bank internal and bank integral these two levels, mainly using gray forecasting model to start commercial banks' integral credit risk measurement methods analysis from the perspective of measurement, having strong...
In the face of the status quo of credit risk measurement academic research and practical research in China, the banks' credit risk measurement can be divided into the banks' interior and banks' integral these two levels. Through the analysis, it is found that the most suitable objective conditions of the commercial banks' internal credit risk measurement method in China is KMV model, with strong theoretical...
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