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Deciphering the biological networks underlying complex phenotypic traits, e.g., human disease is undoubtedly crucial to understand the underlying molecular mechanisms and to develop effective therapeutics. Due to the network complexity and the relatively small number of available experiments, data-driven modeling is a great challenge for deducing the functions of genes/proteins in the network and...
The daily clearing price curve in electricity market varied with multi-period and strong fluctuation characteristic. When grey GM (1, 1) model is used in forecast, the forecast error exceeded the permitted precision. This is because GM (1, 1) model is invalidated only if the price series did not follow the rule of exponential growth. In this case, grey model with period residual modification is proposed,...
Due to the fluctuation and complexity of the financial time series, it is difficult to use any single artificial technique to capture its non-stationary property and accurately describe its moving tendency. So a novel hybrid intelligent forecasting model based on empirical mode decomposition (EMD) and support vector regression (SVR) is proposed. EMD can adaptively decompose the complicated raw data...
Settlement of municipal solid waste landfill lasts a very long period of time, and it is of great importance to determine or predict the settlement process in order to reasonably design waste filling art and choose good prevention methods to ensure the safety of associated facilities built on the top of the landfill. In this paper, we deeply study the models for the settlement process. First, mathematical...
How to predict ecological footprint is the problem need to be resolved. The methods for predicting ecological footprint based on ARMA model and support vector machine model were proposed after thoroughly studying the ecological footprint theory. Ecological footprint during planning period (2007 -2020 years) in Liaoning coastal economic zone was dynamically analyzed with the proposed methods. The results...
With the sustainable development of economy, Beijing logistics industry develops fast. At the same time, the logistics demand of Beijing exurbs grows continuously, and it brings an opportunity for the logistics development of exurbs. Based on the analysis of the logistics development status and logistics demand of the Beijing exurbs, using gray model for quantitative prediction is put forward in the...
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