Research review for broad learning system: Algorithms, theory, and applications
In recent years, the appearance of the broad learning system (BLS) is poised to
revolutionize conventional artificial intelligence methods. It represents a step toward building …
revolutionize conventional artificial intelligence methods. It represents a step toward building …
2D hyperchaotic system based on Schaffer function for image encryption
Chaotic systems are the most essential tools for wide range of applications such as
communication, watermarking, data compression and multimedia encryption. However, the …
communication, watermarking, data compression and multimedia encryption. However, the …
Semi-supervised broad learning system based on manifold regularization and broad network
H Zhao, J Zheng, W Deng… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Broad Learning System (BLS) are widely used in many fields because of its strong feature
extraction ability and high computational efficiency. However, the BLS is mainly used in …
extraction ability and high computational efficiency. However, the BLS is mainly used in …
A Survey on Graph Neural Networks for Intrusion Detection Systems: Methods, Trends and Challenges
Intrusion detection systems (IDS) play a crucial role in maintaining network security. With the
increasing sophistication of cyber attack methods, traditional detection approaches are …
increasing sophistication of cyber attack methods, traditional detection approaches are …
Dsformer: A double sampling transformer for multivariate time series long-term prediction
Multivariate time series long-term prediction, which aims to predict the change of data in a
long time, can provide references for decision-making. Although transformer-based models …
long time, can provide references for decision-making. Although transformer-based models …
A novel performance trend prediction approach using ENBLS with GWO
H Zhao, P Zhang, R Zhang, R Yao… - … Science and Technology, 2022 - iopscience.iop.org
Bearings are a core component of rotating machinery, and directly affect its reliability and
operational efficiency. Effective evaluation of a bearing's operational state is key to ensuring …
operational efficiency. Effective evaluation of a bearing's operational state is key to ensuring …
Optimal robot–environment interaction under broad fuzzy neural adaptive control
This article proposes a novel control strategy based on a broad fuzzy neural network (BFNN)
which is subjected to contact with the unknown environment. Compared with the …
which is subjected to contact with the unknown environment. Compared with the …
Nonlinear spiking neural systems with autapses for predicting chaotic time series
Q Liu, H Peng, L Long, J Wang, Q Yang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Spiking neural P (SNP) systems are a class of distributed and parallel neural-like computing
models that are inspired by the mechanism of spiking neurons and are 3rd-generation …
models that are inspired by the mechanism of spiking neurons and are 3rd-generation …
Multivariate time series forecasting method based on nonlinear spiking neural P systems and non-subsampled shearlet transform
L Long, Q Liu, H Peng, J Wang, Q Yang - Neural Networks, 2022 - Elsevier
Multivariate time series forecasting remains a challenging task because of its nonlinear, non-
stationary, high-dimensional, and spatial–temporal characteristics, along with the …
stationary, high-dimensional, and spatial–temporal characteristics, along with the …
Incremental weighted ensemble broad learning system for imbalanced data
Broad learning system (BLS) is a novel and efficient model, which facilitates representation
learning and classification by concatenating feature nodes and enhancement nodes. In spite …
learning and classification by concatenating feature nodes and enhancement nodes. In spite …