X You, C Zhang, X Tan, S Jin, H Wu - Science China Information Sciences, 2019 - Springer
Wireless communication technologies such as fifth generation mobile networks (5G) will not only provide an increase of 1000 times in Internet traffic in the next decade but will also offer …
Efficiently implementing remote sensing image classification with high spatial resolution imagery can provide significant value in land use and land cover (LULC) classification. The …
Though mathematical ideas underpin the study of neural networks, the author presents the fundamentals without the full mathematical apparatus. All aspects of the field are tackled …
G Zhang, BE Patuwo, MY Hu - International journal of forecasting, 1998 - Elsevier
Interest in using artificial neural networks (ANNs) for forecasting has led to a tremendous surge in research activities in the past decade. While ANNs provide a great deal of promise …
Conventional model-based data processing methods are computationally expensive and require experts' knowledge for the modelling of a system. Neural networks are a model-free …
M Ghiassi, H Saidane, DK Zimbra - International Journal of Forecasting, 2005 - Elsevier
Neural networks have shown to be an effective method for forecasting time series events. Traditional research in this area uses a network with a sequential iterative learning process …
A method defining a reject option that is applicable to a given 0-reject classifier is proposed. The reject option is based on an estimate of the classification reliability, measured by a …
HF Zou, GP Xia, FT Yang, HY Wang - Neurocomputing, 2007 - Elsevier
This paper compares the predictive performance of ARIMA, artificial neural network and the linear combination models for forecasting wheat price in Chinese market. Empirical results …