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Forecasting accuracy can be substantially improved through the combination of multiple individual forecasts. Yet most previous attempts at combining forecasts have focused on a single objective. This paper provides an ensemble forecasting model integrating autoregressive integrated moving average (ARIMA) with artificial neural networks (ANN) based on combined objectives. Golden section criteria is...
Oil mist concentration is one of the important factors that influence the state of equipment, so it is very critical to monitor oil mist concentration accurately and quickly. A kind of monitor device is designed to carry on the sampling of the air inside and get the original data. And forecasting the variety of oil mist concentration with grey model, it opens the air decontamination device before...
Commodity price is always a matter related to national welfare and people's livelihood. In 2010, the country's central government put ‘Price Control’ as an important matter among national priorities and did enormous efforts for it. As a center area of Central Plain Economic Zone, He Nan Province has more reasons to keep commodity price in check. Based itself on the grey fuzzy theory the paper tries...
The per capita ecological footprint (EF) is one of the most-widely recognized measures of environmental sustainability. It tries to quantify the earth's biological capacity required to support human activity. This study at first summarize the previous literature, and then present the five factors which influenced the per capita EF, they are the nation's GDP, urbanization independent of economic development,...
In this study, firstly, the authors provide a brief introduction to studies of exchange rate forecasting in recent years and focus on the neural network methods. Secondly, they study five data samples by four neural network models, which include Genetic Algorithm neural network (GA-ANN), Quasi Newton neural network (QN-ANN), a common BP-neural network (ANN) and a BP-neural network given 10 times random...
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