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A stacked broad learning system with multitask learning method for cellular wireless network traffic prediction
With the development of 5G networks, cellular wireless networks are becoming more diverse and intelligent. As an important part of intelligent...
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Facial beauty prediction fusing transfer learning and broad learning system
Facial beauty prediction (FBP) is an important and challenging problem in the fields of computer vision and machine learning. Not only it is easily...
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Sound Source Localization Algorithm of Microphone Array Based on Incremental Broad Learning System
Sound source localization is a technique that utilizes microphone arrays to detect the position of sound sources. It has a wide range of applications...
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Hermite broad-learning recurrent neural control with adaptive learning rate for nonlinear systems
Although conventional control systems are simple and widely used, they may not be effective for complex and uncertain systems. This study proposes a...
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Broad learning system based ensemble deep model
Broad learning system (BLS) demonstrates a novel structure of neural networks based on random vector functional link network (RVFL), which has a...
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A Decomposition-Based Improved Broad Learning System Model for Short-Term Load Forecasting
It is still a challenging problem for most existing forecasting methods to obtain accurate and rapid prediction performance in short-term load...
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Evaluation and Adjustment Based on Broad Learning System for Small Signal Stability Analysis of Power System Integrated with Wind Farms
This paper primarily focuses on evaluation and adjustment methods for small signal analysis with wind farm integration. The connection of wind farms...
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Active broad learning with multi-objective evolution for data stream classification
In a streaming environment, the characteristics and labels of instances may change over time, forming concept drifts. Previous studies on data stream...
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Active label-denoising algorithm based on broad learning for annotation of machine health status
Deep learning has led to tremendous success in machine maintenance and fault diagnosis. However, this success is predicated on the correctly...
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Fuzzy Broad Learning Adaptive Control for Voice Coil Motor Drivers
The position of a voice coil motor (VCM) driver is difficult to control in a stable and highly precise manner. To address these challenges, this...
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Antenna optimization based on master-apprentice broad learning system
In order to improve the efficiency of antenna optimization design, a surrogate model is often used to replace the full-wave electromagnetic...
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Weak Pulse Signal Detection Based on the Broad Learning Method under the Chaotic Background
AbstractThis paper combines the broad learning method with signal detection to realize weak pulse signal detection under the chaotic background....
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Stochastic configuration broad learning system and its approximation capability analysis
In this paper, a kind of stochastic configuration broad learning system (SCBLS) is proposed for data modeling. The proposed SCBLS is established in...
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Study of Q-learning and deep Q-network learning control for a rotary inverted pendulum system
The rotary inverted pendulum system (RIPS) is an underactuated mechanical system with highly nonlinear dynamics and it is difficult to control a RIPS...
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Application of machine learning and adaptive matching tracking in Japanese teaching platform system
The way of education and learning is facing new challenges and opportunities. This paper aims to design and implement a Japanese teaching platform...
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Broad learning system-based adaptive optimal control design for dynamic positioning of marine vessels
This paper investigates a discrete-time (DT) adaptive optimal control policy based on broad learning system (BLS) and adaptive dynamic programming...
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Robot Autonomous Avoidance System Based on Reinforcement Learning in 6G Network Scenarios
Robotic platforms must combine autonomous avoidance systems to operate safely and effectively, particularly in uncertain and insecure situations....
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Algorithm for speech emotion recognition classification based on Mel-frequency Cepstral coefficients and broad learning system
Speech plays a major role in emotional transmitting information in humans, and speech emotion recognition has become an important part of the...
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Remote Cardiac System Monitoring Using 6G-IoT Communication and Deep Learning
Remote patient monitoring has recently been popularised due to advanced technological innovations. The advent of the Sixth Generation Internet of...
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Design and Implementation of an Educational Information Management System Using Deep Learning and Wireless Communication
Wireless communication and Deep Learning can enhance the capabilities of an educational information management system by optimizing physical...
