In order to further help each unit that mitigates the poverty of impoverished regions improve efficiency alleviation, this paper establishes a alleviation performance evaluation index system. Firstly, we analyze correlation among indicators through matrix density diagram. Second, questions are divided into target layer (poverty performance), criterion efficiency, effect, and rate), indicator la...

This work develops Artificial Neural Networks (ANN) models applied to predict the consumption forecasting considering climatic factors. It is intended to verify the influence of climatic factors on the electricity consumption forecasting through the ANN. The case study is applied in the Campinas city, Brazil. This work used Perceptron and Backpropagation ANN models. The specific goal is compari...

This paper describes a heuristic forecasting model based on neural networks for stock decision-making. Some heuristic strategies are presented for enhancing the learning capability of neural networks and obtaining better trading performance. The China Shanghai Composite Index is used as case study. The forecasting model can forecast the buying and selling signs according to the result of neural...

Sales forecasting is an important problem in fashion retail operations. In this paper, we propose a novel panel data based particle-filter (PDPF) model to conduct fashion sales forecasting. We evaluate the performance of proposed model in terms of sales quantity and color trend prediction by using real data from the fashion industry. The experimental results provide novel insights and practical...

This study examines a selection of off-the-shelf forecasting and forecast combination algorithms with a focus on assessing their practical relevance by drawing conclusions for non-expert users. Some of the methods have only recently been introduced and have not been part in comparative empirical evaluations before. Considering the advances of forecasting techniques, this analysis addresses the ...

Patents are an integral part of intellectual property rights and contain substantial amounts of information on developed technologies. Thus, patent management plays an important role in addressing the competitive environment surrounding intellectual property rights. Technology forecasting is an important part of patent management. Any successful R&D strategy requires effective technology foreca...

The combination forecasting model IOWGA-EMD-ARMA-WNN is proposed in this paper. The randomness, periodicity and tendency of the original data are showed by EMD decomposition in EMD-ARMA model. WNN combines the advantages of wavelet analysis and BP neural network and improves the learning efficiency and forecasting accuracy. The weight of combination model is decided by forecasting precision of ...

SAS® High-Performance Forecasting 4.1 offers a new, innovative process for automatically combining forecasts. Forecast combination, also called ensemble forecasting, is the subject of many academic papers in statistical and forecasting journals; it is a known technique for improving forecast accuracy and reducing variability of the resulting forecasts. By integrating these methods into a single...

As one of the most promising kinds of the renewable energy power, wind power has developed rapidly in recent years. However, wind power has the characteristics of intermittency and volatility, so its penetration into electric power systems brings challenges for their safe and stable operation, therefore making accurate wind power forecasting increasingly important, which is also a challenging t...