CNN-based Broad Learning with Efficient Incremental Reconstruction Model for Facial Emotion Recognition
Sign Up to like & getrecommendations! Published in 2020 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2020.12.2754
Abstract: Abstract Convolutional neural network-based broad learning with efficient incremental reconstruction model (CNNBL) is proposed to recognize emotions in human-robot interaction. It aims to extract deep and abstract features from facial emotional images, and reduce the… read more here.
Keywords: broad learning; based broad; emotion recognition; recognition ... See more keywords
Quaternion broad learning system: A novel multi-dimensional filter for estimation and elimination tremor in teleoperation
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.10.059
Abstract: Abstract In this paper, a novel quaternion broad learning system is proposed in this paper for tremor estimation and elimination in teleoperation. In the new proposed QBLS, the architecture can be divided into three layers,… read more here.
Keywords: quaternion; broad learning; layer; learning system ... See more keywords
Broad learning system for semi-supervised learning
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.02.059
Abstract: Abstract As an emerging technique for supervised learning, broad learning system (BLS) has been proved to have many advantages such as fast learning speed, good generalization, etc. However, it is difficult for BLS to perform… read more here.
Keywords: learning system; bls; semi supervised; supervised learning ... See more keywords
Broad learning control of a two-link flexible manipulator with prescribed performance and actuator faults
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DOI: 10.1017/s026357472200176x
Abstract: Abstract In this paper, we present a broad learning control method for a two-link flexible manipulator with prescribed performance (PP) and actuator faults. The trajectory tracking errors are processed through two consecutive error transformations to… read more here.
Keywords: control; manipulator; learning control; broad learning ... See more keywords
Broad Learning System for Nonparametric Modeling of Clay Parameters
Sign Up to like & getrecommendations! Published in 2020 at "ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering"
DOI: 10.1061/ajrua6.0001066
Abstract: AbstractDue to the complex and uncertain nature of geomaterial properties, establishing representative parametric models between clay parameters is a challenging task. Nonparametric machine learnin... read more here.
Keywords: broad learning; nonparametric modeling; learning system; clay parameters ... See more keywords
Hyperspectral image classification based on local binary pattern and broad learning system
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2020.1798553
Abstract: ABSTRACT In the hyperspectral classification, the combination of spectral information and spatial information has received more attention. Especially in the deep learning methods, massive spatial-spectral features which are helpful for improving the classification performance can… read more here.
Keywords: broad learning; classification; information; learning system ... See more keywords
An imbalanced sample intelligent fault diagnosis method using data enhancement and improved broad learning system
Sign Up to like & getrecommendations! Published in 2023 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/acca37
Abstract: Broad learning system (BLS) has been widely applied in the field of fault diagnosis because of its high computational efficiency, simple structure, and strong interpretability. However, traditional BLS cannot extract deep level fault features. Meanwhile,… read more here.
Keywords: fault diagnosis; feature; fault; broad learning ... See more keywords
Rich Feature Combination for Cost-Based Broad Learning System
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DOI: 10.1109/access.2018.2885164
Abstract: Broad learning system (BLS) is an emerging learning algorithm for the connectionist models, which have enjoyed much popularity on many applications. As an alternative approach of learning in deep structure, the BLS develops an incremental… read more here.
Keywords: learning system; bls; feature; cost ... See more keywords
A Novel Broad Learning Model-Based Semi-Supervised Image Classification Method
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DOI: 10.1109/access.2020.3003916
Abstract: Broad learning system (BLS) is an effective and efficient incremental learning system without the deep architecture. It has strong feature extraction ability and high computational efficiency. However, it is greatly limited in the applicability of… read more here.
Keywords: image classification; semi supervised; flap bls; classification ... See more keywords
A Fault Aware Broad Learning System for Concurrent Network Failure Situations
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DOI: 10.1109/access.2021.3066217
Abstract: The broad learning system (BLS) framework gives an efficient solution for training flat-structured feedforward networks and flat structured deep neural networks. However, the classical BLS model and other variants focus on the faultless situation only,… read more here.
Keywords: learning system; bls; fault aware; network ... See more keywords
Greedy Broad Learning System
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3084610
Abstract: In order to overcome the extremely time-consuming drawback of deep learning (DL), broad learning system (BLS) was proposed as an alternative method. This model is simple, fast, and easy to update. To ensure the fitting… read more here.
Keywords: learning system; bls; hidden layer; layer ... See more keywords