Výsledky vyhľadávania - PSO-BP neural network regression algorithm

Recovering 3D Basin Basement Relief Using High-Precision Magnetic Data Through Particle Swarm Optimization and Back Propagation Algorithm

Autori: Shen Yan Xinjun Zhang Zhongda Shang a ďalší

Zdroj: IEEE Access, Vol 13, Pp 44343-44353 (2025)

Predmety: numerical simulation, PSO-BP neural network regression algorithm, Magnetic substrate interface, Electrical engineering. Electronics. Nuclear engineering, potential field processing conversion, TK1-9971

Prístupová URL adresa: https://doaj.org/article/eab99bb36b3c4fc2a3033e54a71020b8

Experimental study on DEM parameters calibration for organic fertilizer by the particle swarm optimization − backpropagation neural networks

Autori: Fandi Zeng Limin Liu Yinzeng Liu a ďalší

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-15 (2025)

Predmety: Organic fertilizer particles, Physical property, The discrete element model, Repose angle, The PSO − BP algorithm, Medicine, Science

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Prístupová URL adresa: https://doaj.org/article/6d73b7c597be49bcb169edb0ead9130e

Research on the Prediction of Infiltration Depth of Xiashu Loess Slopes Based on Particle Swarm Optimized Back Propagation (PSO-BP) Neural Network.

Autori: Xiao, Pan Guo, Bingyue Wang, Yi a ďalší

Zdroj: Water (20734441); Apr2024, Vol. 16 Issue 8, p1184, 17p

Predmety: SOIL infiltration, PARTICLE swarm optimization, ARTIFICIAL neural networks, BACK propagation, LANDSLIDES, LOESS, NONLINEAR regression

Fault detection of key parts of wind turbine based on BP neural network combination prediction model

Autori: Jingjing Zhang Liming Liu Lei Wang a ďalší

Zdroj: Energy Informatics, Vol 7, Iss 1, Pp 1-20 (2024)

Predmety: Wind turbine, SCADA system, Fault detection, BP neural network, PSO-BP combination prediction algorithm, Energy industries. Energy policy. Fuel trade, HD9502-9502.5

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2520-8942

Prístupová URL adresa: https://doaj.org/article/6e73bc1706914b4c892998dc16b629cc

Research on Check-In Baggage Flow Prediction for Airport Departure Passengers Based on Improved PSO-BP Neural Network Combination Model

Autori: Bo Jiang Jian Zhang Jianlin Fu a ďalší

Zdroj: Aerospace, Vol 11, Iss 11, p 953 (2024)

Predmety: air transportation, baggage flow, combination model, prediction algorithm, neural network, Motor vehicles. Aeronautics. Astronautics, TL1-4050

Popis súboru: electronic resource

Relation: https://www.mdpi.com/2226-4310/11/11/953; https://doaj.org/toc/2226-4310

Prístupová URL adresa: https://doaj.org/article/27edc78bd4b14fd7b7b5e8337080d83a

Prediction method and application of coal temperature in goaf based on DPO-BP neural network

Autori: Xiaowei ZHAI Bo WANG Xueming JIANG a ďalší

Zdroj: Meikuang Anquan, Vol 56, Iss 4, Pp 75-81 (2025)

Predmety: coal spontaneous combustion, marker gas, monitoring and early warning, dung beetle algorithm, forecasting model, Mining engineering. Metallurgy, TN1-997

Popis súboru: electronic resource

Relation: https://doaj.org/toc/1003-496X

Prístupová URL adresa: https://doaj.org/article/bf7c06833e944d848e85578915fd1650

Research on the Calibration of Discrete Elemental Parameters of Yam Bean Based on GA-BP Improved Neural Network Algorithm

Autori: Hongwei Diao Fandi Zeng Yinzeng Liu a ďalší

Zdroj: Processes. 13:1537

基于动量自适应学习率 PSO-BP 神经网络的 钻速预测模型研究.

Alternate Title: Prediction Model of Penetration Rate Based on PSO-BP Neural Network with Momentum Adaptive Learning Rate.

Autori: 刘伟吉 冯嘉豪 祝效华 a ďalší

Zdroj: Science Technology & Engineering. 2023, Vol. 23 Issue 24, p10264-10272. 9p.

基于 PSO-BP 神经网络的风电功率备用容量估计模型.

Alternate Title: Estimation Model of Wind Power Reserve Capacity Based on PSO-BP Neural Network.

Autori: 朱成名 魏云冰 蒋成成 a ďalší

Zdroj: Electronic Science & Technology. 2021, Vol. 34 Issue 12, p36-41. 6p.

A static load position identification method for optical fiber-composite structures based on particle swarm optimization- back Propagation neural network algorithm

Autori: LB Shen LP Tian

Zdroj: Measurement + Control, Vol 56 (2023)

Predmety: Control engineering systems. Automatic machinery (General), TJ212-225, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, T1-995, 02 engineering and technology, Technology (General)

Prístupová URL adresa: https://doaj.org/article/d0b58ac71b5740ebaa386fce4fb3590d

基于机器学习算法的油嘴冲蚀磨损预测. (Chinese)

Alternate Title: Prediction of Nozzle Erosion Wear Based on Machine Learning Algorithm. (English)

Autori: 李若雯 刘少胡 徐泽庆 a ďalší

Zdroj: Science Technology & Engineering; 2025, Vol. 25 Issue 11, p4526-4533, 8p

Predmety: PARTICLE swarm optimization, CONVOLUTIONAL neural networks, MACHINE learning, VISCOSITY, BACK propagation

Burning rate research of NEPE propellant containing CL-20 on the base of improved Canny edge detection and PSO-BP

Autori: Cai Wenxiang Yu Xintong Wang Zhixiang

Zdroj: Case Studies in Thermal Engineering, Vol 73, Iss , Pp 106677- (2025)

Predmety: Solid propellant, Propellant burning rate, Image processing, Neural network, Engineering (General). Civil engineering (General), TA1-2040

Popis súboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2214157X25009372; https://doaj.org/toc/2214-157X

Prístupová URL adresa: https://doaj.org/article/d6d2076255984950897fd9eab3d55e8b

Research on Failure Pressure Prediction of Water Supply Pipe Based on GA-BP Neural Network.

Autori: Li, Qingfu Li, Zeyi

Zdroj: Water (20734441); Sep2024, Vol. 16 Issue 18, p2659, 15p

Predmety: ARTIFICIAL neural networks, GENETIC algorithms, WATER supply, WATER pressure, PREDICTION models, BACK propagation

Prediction of rockburst hazard based on particle swarm algorithm and neural network

Autori: Meichang Zhang

Zdroj: Neural Computing and Applications. 34:2649-2659

Predmety: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Prístupová URL adresa: https://link.springer.com/content/pdf/10.1007/s00521-021-06057-9.pdf

A prediction model of wall shear stress for ultra-high-pressure water-jet nozzle based on hybrid BP neural network

Autori: Yuan-Jie Chen Zheng-Shou Chen

Zdroj: Engineering Applications of Computational Fluid Mechanics, Vol 16, Iss 1, Pp 1902-1920 (2022)

Predmety: Water jet nozzle, genetic algorithm (GA), BP neural network (BPNN), 0103 physical sciences, TA1-2040, Engineering (General). Civil engineering (General), wall shear stress, 01 natural sciences, particle swarm optimization (PSO)

Prístupová URL adresa: https://doaj.org/article/9b199127bb304fd782fc5ed4f0077abb

The analysis of carbon emissions in urban nonferrous metals industry with neural network model.

Autori: Yang, Wei Zhang, Linyi Long, Tao a ďalší

Zdroj: Environment, Development & Sustainability. Sep2025, p1-22.

Predmety: *ARTIFICIAL neural networks, *URBAN economics, *SUSTAINABLE development, *ENERGY consumption, CARBON emissions, NONFERROUS metals, ECOLOGICAL forecasting

Geografický termín: SHAANXI Sheng (China), CHINA

TBESO-BP: an improved regression model for predicting subclinical mastitis.

Autori: Han, Kexin Dai, Yongqiang Liu, Huan a ďalší

Zdroj: Frontiers in Veterinary Science. 2025, p1-14. 14p.

Optimization of Online Teaching Quality Evaluation Model Based on Hierarchical PSO-BP Neural Network

Autori: Luxin Jiang Xiaohui Wang

Zdroj: Complexity, Vol 2020 (2020)

Predmety: 13. Climate action, Electronic computers. Computer science, 4. Education, 0202 electrical engineering, electronic engineering, information engineering, QA75.5-76.95, 02 engineering and technology, 7. Clean energy

Popis súboru: text/xhtml

Prístupová URL adresa: https://downloads.hindawi.com/journals/complexity/2020/6647683.pdf
https://doaj.org/article/78ab679d09924ae595f5649c1c9f51ef
https://downloads.hindawi.com/journals/complexity/2020/6647683.pdf
https://doi.org/10.1155/2020/6647683
https://www.hindawi.com/journals/complexity/2020/6647683/
https://dblp.uni-trier.de/db/journals/complexity/complexity2020.html#JiangW20

Multi-Algorithm Hybrid Optimization of Back Propagation (BP) Neural Networks for Reference Crop Evapotranspiration Prediction Models.

Autori: Zheng, Yu Zhang, Lixin Hu, Xue a ďalší

Zdroj: Water (20734441); Nov2023, Vol. 15 Issue 21, p3718, 13p

Predmety: BACK propagation, PREDICTION models, AGRICULTURAL water supply, EVAPOTRANSPIRATION, PEARSON correlation (Statistics), WATER use, RESPONSE surfaces (Statistics), AGRICULTURAL forecasts

Forecast of Advanced Human Capital Gap Based on PSO-BP Neural Network and Coordination Pathway: Example of Beijing–Tianjin–Hebei Region

Autori: Miao He Junli Huang Ruyi Sun

Zdroj: Sustainability, Vol 15, Iss 5, p 4671 (2023)

Predmety: supervised learning, PSO-BP neural network, advanced human capital level forecast, Beijing–Tianjin–Hebei region coordination, Environmental effects of industries and plants, TD194-195, Renewable energy sources, TJ807-830, Environmental sciences, GE1-350

Relation: https://www.mdpi.com/2071-1050/15/5/4671; https://doaj.org/toc/2071-1050; https://doaj.org/article/669e302f35bf48fe811686e0fb6f917a

Dostupnosť: https://doi.org/10.3390/su15054671
https://doaj.org/article/669e302f35bf48fe811686e0fb6f917a