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 …
A comprehensive survey of machine learning applied to radar signal processing
P Lang, X Fu, M Martorella, J Dong, R Qin… - arXiv preprint arXiv …, 2020 - arxiv.org
Modern radar systems have high requirements in terms of accuracy, robustness and real-
time capability when operating on increasingly complex electromagnetic environments …
time capability when operating on increasingly complex electromagnetic environments …
Incremental learning based on anchored class centers for SAR automatic target recognition
B Li, Z Cui, Z Cao, J Yang - IEEE Transactions on Geoscience …, 2022 - ieeexplore.ieee.org
Although deep learning methods have achieved great success in synthetic aperture radar
automatic target recognition (SAR ATR), their accuracies decline sharply, as new classes …
automatic target recognition (SAR ATR), their accuracies decline sharply, as new classes …
Type-2 fuzzy broad learning system
H Han, Z Liu, H Liu, J Qiao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The broad learning system (BLS) has been identified as an important research topic in
machine learning. However, the typical BLS suffers from poor robustness for uncertainties …
machine learning. However, the typical BLS suffers from poor robustness for uncertainties …
LIME-Assisted Automatic Target Recognition with SAR Images: Towards Incremental Learning and Explainability
Integrating an automatic target recognition (ATR) system into real-world applications
presents a challenge as it may frequently encounter new samples from unseen classes. To …
presents a challenge as it may frequently encounter new samples from unseen classes. To …
Hyperspectral image classification based on discriminative locality preserving broad learning system
Recently, broad learning system (BLS) has been widely used for its simple, fast and
excellent generalization ability in hyperspectral image (HSI) classification. However, how to …
excellent generalization ability in hyperspectral image (HSI) classification. However, how to …
Dynamic neural network structure: A review for its theories and applications
The dynamic neural network (DNN), in contrast to the static counterpart, offers numerous
advantages, such as improved accuracy, efficiency, and interpretability. These benefits stem …
advantages, such as improved accuracy, efficiency, and interpretability. These benefits stem …
Adaptive Broad Learning Neural Network for Fault-Tolerant Control of 2-DOF Helicopter Systems
This study is aimed to design a fault-tolerant control using a broad learning neural network
(BLNN) for a two-degree-of-freedom (2-DOF) nonlinear helicopter system. Compared with …
(BLNN) for a two-degree-of-freedom (2-DOF) nonlinear helicopter system. Compared with …
基于宽度混合森林回归的城市固废焚烧过程二噁英排放软测量
夏恒， 汤健， 崔璨麟， 乔俊飞 - 自动化学报, 2023 - aas.net.cn
二噁英是城市固废焚烧过程排放的痕量有机污染物. 受限于相关技术的复杂度和高成本,
二噁英排放浓度检测的大时滞已成为制约城市固废焚烧过程优化控制的关键因素之一 …
二噁英排放浓度检测的大时滞已成为制约城市固废焚烧过程优化控制的关键因素之一 …
Hyperspectral image classification with discriminative manifold broad learning system
It has been proved that hyperspectral image (HSI) classification task benefits from
introducing additional spatial information. However, how to classify high-dimensional …
introducing additional spatial information. However, how to classify high-dimensional …