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Forecasting of GDP is considered using a novel combination forecasting model. Firstly, we establish a combination forecasting model based on three individual forecasts, in this model the individual forecasting errors can be updated over time. Secondly Ningxia per GDP from 1985 to 2010 is analyzed employing this novel combination forecasting, the empirical results show that combination forecast can...
Though the use of mixed programming of Visual C++ language and Matlab software, it realizes the optimization of the warning system of BP neural network model that is based on genetic algorithm. This system can not only quickly query into the diseases incidence about rose powdery mildew, downy mildew, gray mold, it also can predict index of the disease inflection rate of greenhouse rose diseases. It...
The influencing factors on the C2C online bids can be divided in product level and seller level in this paper. We explore the relations between the cross-level using the HLM. The results show that the price and description will respectively have a major impact on the CSS and the CSS between different sellers also have significant differences. The Feedback score and the Positive feedback of sellers...
Through the application of genetic algorithms (genetic algorithm, simplified as GA) and BP(Back Propation) neural network, I built a prediction model of roses diseases, in which I choose six indicators as the input of network, they are the minimum temperature, maximum temperature, average temperature, minimum humidity, maximum humidity, average humidity in the greenhouse, then I choose three diseases...
The time series model is decomposed into the trend items, cycle items and random items, respectively extracted by the establishment of the various forecasting model, the model is applied to the Chahayang farm in 1956 to 2008 on-year growth period crops fitting rainfall forecast, the results show that the model can reveal the crop growth period variation of monthly rainfall, for the rational development...
In order to simulate and analyze the schedule and cost of product development process (PDP) effectively, Design Structure Matrix was used as structural model in simulation. The schedule and cost models were described by triangular distribution of random variables. The disadvantage of traditional rework probability matrix was analyzed and the concept of rework conditional probability was proposed....
Short-term load forecasting is important for electricity load planning and dispatches the loading of generating units in order to meet the electricity system demand. The precision of the load forecasting is related to electricity company's economic. This paper presents a approach named an autoregressive moving average (ARMA) cooperate with BP Artificial Neural Network (BPNN) approach, which can combine...
The exact prediction of rockburst is an urgent problem for the underground excavation in high geostatic stress environment. Set pair analysis (SPA) and variable fuzzy sets (VFS) are new methodologies to describe and process system uncertainty. In this paper, a novel model using the theory of SPA is proposed to construct the difference function of VFS by means of approaching degree between the sample...
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