Abstract The Yinsong Water Diversion Project in China's northeast region contains a 20 km
long tunnel section, which was drilled by a tunnel boring machine (TBM) and monitored in …

There is an ever-increasing need to optimise bearing lifetime and maintenance cost through
detecting faults at earlier stages. This can be achieved through improving diagnosis and …

Time series prediction with neural networks has been the focus of much research in the past
few decades. Given the recent deep learning revolution, there has been much attention in …

Irregular human behaviors and univariate datasets remain as two main obstacles of data-
driven energy consumption predictions for individual households. In this study, a hybrid …

Growth in electricity demand also gives a rise to the necessity of cheaper and safer electric
supply and forecasting electricity load plays a key role in this goal. In this study recurrent …

摘要极限学习机(ExtremeLearningMachine, ELM) 作为前馈神经网络学习中一种全新的训练
框架, 在行为识别, 情感识别和故障诊断等方面被广泛应用, 引起了各个领域的高度关注和深入 …

Streamflow prediction is a significant undertaking for water resources planning and
management. Accurate forecasting of streamflow always being a challenging task for the …

电力系统的稳定运行具有负荷平衡的强约束性, 准确的电力负荷预测在保证电力系统规划与可靠
, 经济运行方面具有十分重要的意义, 影响着电力系统的诸多决策, 如经济调度, 自动发电控制 …

Abstract Machine learning techniques are being increasingly used for detection and
diagnosis of diseases for its accuracy and efficiency in pattern classification. In this paper …

In this paper, an online sequential extreme learning machine with kernels (OS-ELMK) has
been proposed for nonstationary time series prediction. An online sequential learning …