Traffic accidents on urban roads are a major cause of death despite the development traffic safety measures. However, prediction casualties in road has not been deeply explored previous research. Effective forecasting methods for can improve manner accident warnings, further avoiding unnecessary loss. This paper provides practicable model forecast problems, which ten variables, including time c...

background: there is a high prevalence of  occupational injuries due to accidents in construction industries which affect human health. therefore, the exploration and analysis of contributing factors of such accidents can lead to their prevention and the reduction of their consequences. this study was conducted with the aim to identify factors related to occupational injuries and the severity o...

Fuzzy time series model has been developed to either improve forecasting accuracy or reduce computation time, whereas a residul analysis in order to improve its forecasting performance is still lack of consideration. In this paper, we propose a novel Fourier method to revise the analysis of residual terms, and then we illustrate it to forecast the Japanese tourists visiting in Taiwan per year. ...

Building a time series forecasting model by independent component analysis mechanism presents in the paper. Different from using the time series directly with the traditional ARIMA forecasting model, the underlying factors extracted from time series is the forecasting base in our model. Within component ambiguity, correlation approximation and mean difference problems, independent component ana...

As an important part of power system planning and the basis of economic operation of power systems, the main work of power load forecasting is to predict the time distribution and spatial distribution of future power loads. The accuracy of load forecasting will directly influence the reliability of the power system. In this paper, a novel short-term Empirical Mode Decomposition-Grey Relational ...

During the recent decades, neural network models have been focused upon by researchers due to their more real performance and on this basis, different types of these models have been used in forecasting. Now, there is a question that which kind of these models has more explanatory power in forecasting the future processes of the stock. In line with this, the present paper made a comparison betw...