Deep learning in neural networks: An overview

J Schmidhuber - Neural networks, 2015 - Elsevier
In recent years, deep artificial neural networks (including recurrent ones) have won
numerous contests in pattern recognition and machine learning. This historical survey …

AI for 5G: Research directions and paradigms

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 …

[HTML][HTML] Deep transfer learning for land use and land cover classification: A comparative study

R Naushad, T Kaur, E Ghaderpour - Sensors, 2021 - mdpi.com
Efficiently implementing remote sensing image classification with high spatial resolution
imagery can provide significant value in land use and land cover (LULC) classification. The …

[图书][B] An introduction to neural networks

K Gurney - 2018 - taylorfrancis.com
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 …

Forecasting with artificial neural networks:: The state of the art

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 …

[图书][B] Neural networks in a softcomputing framework

KL Du, MNS Swamy - 2006 - Springer
Conventional model-based data processing methods are computationally expensive and
require experts' knowledge for the modelling of a system; neural networks provide a model …

A dynamic artificial neural network model for forecasting time series events

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 …

[PDF][PDF] 基于AI 的5G 技术——研究方向与范例

尤肖虎, 张川, 谈晓思, 金石, 邬贺铨 - 中国科学: 信息科学, 2018 - lynchpin.com.cn
摘要第5 代移动通信(5G) 技术将为移动互联网的快速发展提供无所不在的基础性业务能力,
在满足未来10 年移动互联网流量增加1000 倍发展需求的同时, 为全行业 …

To reject or not to reject: that is the question-an answer in case of neural classifiers

C De Stefano, C Sansone… - IEEE Transactions on …, 2000 - ieeexplore.ieee.org
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 …

Real-time learning capability of neural networks

GB Huang, QY Zhu, CK Siew - IEEE Trans. Neural Networks, 2006 - ieeexplore.ieee.org
In some practical applications of neural networks, fast response to external events within an
extremely short time is highly demanded and expected. However, the extensively used …