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Basic Concepts of Grey System Theory,as further led to the emergence of cloud computing and big data technology. Due to its outstanding performance in data processing and system prediction, big data technology has been widely used in many fields of national economy and people’s livelihood to solve practical problems in production and l
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Grey Buffer Operators,this case, even if the constructed model has high simulation accuracy, its prediction results may differ from the actual situation significantly, which is called “prediction trap”. The crux of “prediction trap” is not whether the model itself has a good performance, but whether the system is affecte
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Parameter Optimization Methods for Grey Prediction Models,divided into two categories based on the functions of parameters: process parameters (initial value, background value, accumulative order) and basic parameters (development coefficient, grey action quantity, etc.). Process parameters determine the size of basic parameters by Matrix . and Matrix .. B
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