A network traffic forecasting method based on SA optimized ARIMA–BP neural network

H Yang, X Li, W Qiang, Y Zhao, W Zhang, C Tang - Computer Networks, 2021 - Elsevier
Network traffic forecasting provides key information for network management, resource
allocation, traffic attack detection. However, traditional linear and non-linear network traffic …

Measurement of project portfolio benefits with a GA-BP neural network group

L Bai, Y An, Y Sun - IEEE Transactions on Engineering …, 2023 - ieeexplore.ieee.org
To facilitate the project portfolio benefits (PPB) management and realize the maximization of
the benefits, a PPB measurement model based on the genetic algorithm (GA)-BP neural …

BIM and computer vision-based framework for fire emergency evacuation considering local safety performance

H Deng, Z Ou, G Zhang, Y Deng, M Tian - Sensors, 2021 - mdpi.com
Fire hazard in public buildings may result in serious casualties due to the difficulty of
evacuation caused by intricate interior space and unpredictable development of fire …

A novel structural damage detection method using a hybrid IDE–BP model

J Mei, L Wu, E Chen, W Xiao, L Zhong, J Guo… - Knowledge-Based …, 2023 - Elsevier
Recently, artificial intelligence has been widely applied in the field of structural damage
detection. In this study, a back-propagation neural network (BPNN) hybrid with an improved …

Slip estimation for Mars rover Zhurong based on data drive

T Zhang, S Peng, Y Jia, H Tian, J Sun, C Yan - Applied Sciences, 2022 - mdpi.com
China's Mars rover Zhurong successfully landed on Mars on 15 May 2021, and it is currently
conducting an exploration mission on the Red Planet. This paper develops slip estimation …

Increasing the accuracy of soil nutrient prediction by improving genetic algorithm backpropagation neural networks

Y Liu, C Jiang, C Lu, Z Wang, W Che - Symmetry, 2023 - mdpi.com
Soil nutrient prediction has been eliciting increasing attention in agricultural production.
Backpropagation (BP) neural networks have demonstrated remarkable ability in many …

Research on nonlinear calibration of mine catalytic-combustion-based combustible-gas sensor based on RBF neural network

W Bowen - Heliyon, 2023 - cell.com
After using a catalytic-combustion-based combustible-gas sensor (catalytic sensor)
underground for a period of time, the sensitivity drifts due to environmental factors such as …

Research on operation efficiency prediction and optimization of biological retention system based on GA-BP neural network model

F Chen, Q Zhang, S Chen, Y Yuan - Sustainability, 2023 - mdpi.com
Bioretention systems are an important measure in sandy city construction to remove
pollutants. This study collected all the operating data samples of bioretention ponds …

Pipeline damage identification based on an optimized back-propagation neural network improved by whale optimization algorithm

L Wu, J Mei, S Zhao - Applied Intelligence, 2023 - Springer
With the advantages of high economy and large transportation capacity, pipeline
transportation is commonly used in industrial production. Pipeline damage induced by …

Research on high temperature stamping forming performance and process parameters optimization of 7075 aluminum alloy

Z Ma, H Ji, X Huang, W Xiao, X Tang - Materials, 2021 - mdpi.com
The stress strain curve of 7075 aluminum alloy in the temperature range of 310° C to 410° C
was obtained by Gleeble-3800. By Nakazima test, the isothermal thermoforming limit …