Neural networks have been successfully employed in various domains such as
classification, regression and clustering, etc. Generally, the back propagation (BP) based …

Recently, remarkable advances have been made in statistical analyses based on deep-
learning techniques. Applied studies of deep learning have been reported in various …

This article proposes an improved incremental random vector functional-link network (RVFL)
with a compact structure and presents its application to quality prediction of blast furnace …

Accurate measurement of loader's working resistance is crucial for autonomous intelligence
and energy-saving optimization. This study highlights the limitations of strain sensors used …

摘要针对随机权神经网络(Random vector functional-link networks, RVFLNs)
建模存在的过拟合和泛化能力差的问题, 集成自编码(Autoencoder) 和主成分分析(Principal …

In view of the harsh working environment, high rotational speed and limited installation
space of the loader drive shaft, etc. In this study, a soft measurement method of loader drive …

铁水硅含量(化学热) 和铁水温度(物理热) 是高炉炼铁过程最重要的铁水质量指标,
其建模与控制对于整个高炉炼铁过程的运行优化意义重大. 针对高炉炼铁过程极复杂动态特性 …

Innumerable complex industrial processes, such as blast furnace (BF) ironmaking process,
greatly rely on some well-performing quality models to realize prediction and control of …

Aiming at the problems that the model structure is complex and the training time is too long
for traditional incremental random vector functional-link networks (I-RVFLNs), this paper …

针对传统增量型随机权神经网络(I-RVFLNs) 存在网络参数难以优化确定,
模型收敛速度慢和结构复杂的问题, 提出一种优化增量型随机权神经网络算法, 即OI-RVFLNs …