Suchergebnisse - PSO-BP neural network regression algorithm

  1. 1

    Recovering 3D Basin Basement Relief Using High-Precision Magnetic Data Through Particle Swarm Optimization and Back Propagation Algorithm von Yan, Shen, Zhang, Xinjun, Shang, Zhongda, Wang, Kai, Ma, Yixin

    ISSN: 2169-3536, 2169-3536
    Veröffentlicht: IEEE 2025
    Veröffentlicht in IEEE access (2025)
    “… This paper proposes a new method for the inversion of magnetic basement interfaces using a particle swarm optimization algorithm that combines potential field processing and machine learning techniques …”
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    Journal Article
  2. 2

    Experimental study on DEM parameters calibration for organic fertilizer by the particle swarm optimization − backpropagation neural networks von Zeng, Fandi, Liu, Limin, Liu, Yinzeng, Bai, Hongbin, Li, Chunxiao, Zhao, Zhihuan

    ISSN: 2045-2322, 2045-2322
    Veröffentlicht: London Nature Publishing Group UK 15.07.2025
    Veröffentlicht in Scientific reports (15.07.2025)
    “… The regression fitting models of the BP neural network have been developed from the data set derived from the Central Composite Design test results …”
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    Journal Article
  3. 3

    Forecast of Advanced Human Capital Gap Based on PSO-BP Neural Network and Coordination Pathway: Example of Beijing–Tianjin–Hebei Region von He, Miao, Huang, Junli, Sun, Ruyi

    ISSN: 2071-1050, 2071-1050
    Veröffentlicht: Basel MDPI AG 01.03.2023
    Veröffentlicht in Sustainability (01.03.2023)
    “… The study takes the provincial data of China from 2005 to 2019 as an example, using PSO-BP neural network algorithm to predict the advanced level of human capital through the influencing factors …”
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    Journal Article
  4. 4

    PSO-BP Based Prediction Study for Nonlinear Regression Problems von Hong, Yonglin, Xue, Tianyu, Huang, Muyang

    Veröffentlicht: IEEE 28.06.2024
    “… By integrating the strong nonlinear mapping capabilities of the BP neural network with the optimization of initial weights and thresholds through the PSO algorithm, we develop a PSO-BP neural network …”
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    Tagungsbericht
  5. 5

    Prediction of tumor size in patients with invasive ductal carcinoma using FT-IR spectroscopy combined with chemometrics: a preliminary study von Zhu, Zhimin, Chen, Cheng, Chen, Chen, Yan, Ziwei, Chen, Fangfang, Yang, Bo, Zhang, Huiting, Han, Huijie, Lv, Xiaoyi

    ISSN: 1618-2642, 1618-2650, 1618-2650
    Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.05.2021
    Veröffentlicht in Analytical and bioanalytical chemistry (01.05.2021)
    “… ), back propagation neural network optimized by genetic algorithm (GA-BP-ANN), and back propagation neural network …”
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    Journal Article
  6. 6

    Forecasting second-hand house prices in China using the GA-PSO-BP neural network model von Wang, Jining, Ji, Huabin, Wang, Lei

    ISSN: 1932-6203, 1932-6203
    Veröffentlicht: United States Public Library of Science 07.05.2025
    Veröffentlicht in PloS one (07.05.2025)
    “… To address this issue, the research employs a genetic-particle swarm optimization (GA-PSO) algorithm and develops a GA-PSO-BP neural network model through the integration of the BP neural network …”
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    Journal Article
  7. 7

    Comparison of GA-BP and PSO-BP neural network models with initial BP model for rainfall-induced landslides risk assessment in regional scale: a case study in Sichuan, China von Zhu, Chonghao, Zhang, Jianjing, Liu, Yang, Ma, Donghua, Li, Mengfang, Xiang, Bo

    ISSN: 0921-030X, 1573-0840
    Veröffentlicht: Dordrecht Springer Netherlands 01.01.2020
    Veröffentlicht in Natural hazards (Dordrecht) (01.01.2020)
    “… ) and particle swarm optimization (PSO) are, respectively, coupled with the backpropagation (BP) neural network to determine the initial weights and thresholds in the BP …”
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    Journal Article
  8. 8

    Colorimetric characterization of color imaging systems using a multi‐input PSOBP neural network von Liu, Lu, Xie, Xufen, Zhang, Yuncui, Cao, Fan, Liang, Jing, Liao, Ningfang

    ISSN: 0361-2317, 1520-6378
    Veröffentlicht: Hoboken, USA John Wiley & Sons, Inc 01.08.2022
    Veröffentlicht in Color research and application (01.08.2022)
    “… ‐input particle swarm optimization backpropagation neural network. Combined with a particle swarm optimization algorithm for global search and a 19 …”
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    Journal Article
  9. 9

    Optimization of Online Teaching Quality Evaluation Model Based on Hierarchical PSO-BP Neural Network von Jiang, Luxin, Wang, Xiaohui

    ISSN: 1076-2787, 1099-0526
    Veröffentlicht: Cairo, Egypt Hindawi Publishing Corporation 27.11.2020
    Veröffentlicht in Complexity (New York, N.Y.) (27.11.2020)
    “… on analytic hierarchy process (AHP) and particle swarm optimization BP neural network (PSO-BP) is proposed. Firstly, an online teaching quality evaluation system …”
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    Journal Article
  10. 10

    A Microstructure‐Enhanced Dual‐Mode LC Sensor with a PSOBP Algorithm for Precise Detection of Temperature and Pressure von Miao, Hailiang, Bi, Jinglong, Gao, Yang, Wang, Yiming, Wang, Tao, Mo, Runwei, Qian, Min, Zhu, Mingliang, Xuan, Fuzhen

    ISSN: 1616-301X, 1616-3028
    Veröffentlicht: Hoboken Wiley Subscription Services, Inc 01.11.2024
    Veröffentlicht in Advanced functional materials (01.11.2024)
    “… ) sensor is developed with a particle swarm optimization‐back propagation (PSOBP) algorithm for simultaneous measurement of temperature and pressure …”
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    Journal Article
  11. 11

    Prediction Model for Driver Reaction Time Based on PSO-BP Neural Network Model von Wang, Dan, Hong, Liang, Zhang, Ce, Bai, Yajie, Bi, Zhen Zhen, Lin, Yier

    ISSN: 1939-0114, 1939-0122
    Veröffentlicht: London Hindawi 10.08.2022
    Veröffentlicht in Security and communication networks (10.08.2022)
    “… in the human-machine codriving stage with safety of the intended functionality. Therefore, a model based on PSO-BP neural network algorithm to predict driver reaction time is developed …”
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    Journal Article
  12. 12

    A Productivity Prediction Method of Fracture-Vuggy Reservoirs Based on the PSO-BP Neural Network von Tian, Kunming, Kang, Zhihong, Kang, Zhijiang

    ISSN: 1996-1073, 1996-1073
    Veröffentlicht: Basel MDPI AG 01.07.2024
    Veröffentlicht in Energies (Basel) (01.07.2024)
    “… Therefore, a PSO-BP fracture-vuggy reservoir productivity prediction model optimized by feature optimization was proposed in this paper …”
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    Journal Article
  13. 13

    Research on the Prediction of Infiltration Depth of Xiashu Loess Slopes Based on Particle Swarm Optimized Back Propagation (PSO-BP) Neural Network von Xiao, Pan, Guo, Bingyue, Wang, Yi, Xian, Yujian, Zhang, Faming

    ISSN: 2073-4441, 2073-4441
    Veröffentlicht: Basel MDPI AG 01.04.2024
    Veröffentlicht in Water (Basel) (01.04.2024)
    “… The Xiashu loess exhibits expansion when in contact with water and contraction when water is lost, making it highly susceptible to the influence of rainfall …”
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    Journal Article
  14. 14

    Research on Check-In Baggage Flow Prediction for Airport Departure Passengers Based on Improved PSO-BP Neural Network Combination Model von Jiang, Bo, Zhang, Jian, Fu, Jianlin, Ding, Guofu, Zhang, Yong

    ISSN: 2226-4310, 2226-4310
    Veröffentlicht: Basel MDPI AG 01.11.2024
    Veröffentlicht in Aerospace (01.11.2024)
    “… To accurately capture the trend of baggage flow, a combined PCC-PCA-PSO-BP baggage flow prediction model is proposed …”
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    Journal Article
  15. 15

    Research on Transmission Efficiency Prediction of Heavy-Duty Tractors HMCVT Based on VMD and PSOBP von Lu, Kai, Liang, Jing, Liu, Mengnan, Lu, Zhixiong, Shi, Jinzhong, Xing, Pengfei, Wang, Lin

    ISSN: 2077-0472, 2077-0472
    Veröffentlicht: Basel MDPI AG 01.04.2024
    Veröffentlicht in Agriculture (Basel) (01.04.2024)
    “… ), Particle Swarm Optimization (PSO), and Back Propagation (BP) neural networks to improve the quality of transmission efficiency prediction …”
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    Journal Article
  16. 16

    The application of PSO-BP combined model and GA-BP combined model in Chinese and V4’s economic growth model von Gui, X., Fečkan, M., Wang, J. R.

    ISSN: 1339-0015, 1336-9180, 1339-0015
    Veröffentlicht: Trnava Sciendo 01.12.2022
    “… (PSO-Algorithm) to train Back-Propagation (BP) neural networks, fits the Chinese, the Czech, Slovak, Hungarian, and Polish gross domestic product (GDP) growth model (from 1995 to 2020 …”
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    Journal Article
  17. 17

    Burning rate research of NEPE propellant containing CL-20 on the base of improved Canny edge detection and PSO-BP von Wenxiang, Cai, Xintong, Yu, Zhixiang, Wang

    ISSN: 2214-157X, 2214-157X
    Veröffentlicht: Elsevier Ltd 01.09.2025
    Veröffentlicht in Case studies in thermal engineering (01.09.2025)
    “… Furthermore, the Particle Swarm Optimization algorithm -Back Propagation neural network model (PSO-BP …”
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    Journal Article
  18. 18

    Quantitative determination of TVB-N content for different types of refrigerated grass carp fillets using near-infrared spectroscopy combined with machine learning von Zhang, Qinyu, Hu, Zhigang, Xu, Zijian, Zhang, Peilin, Jiang, Yajun, Fu, Dandan, Chen, Yan

    ISSN: 0889-1575
    Veröffentlicht: Elsevier Inc 01.02.2024
    Veröffentlicht in Journal of food composition and analysis (01.02.2024)
    “… ), backpropagation neural networks (BPNN), and particle swarm optimization-enhanced BP neural networks (PSO-BP …”
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    Journal Article
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    RETRACTED ARTICLE: Combinatorial optimization analysis of the production process of C4 olefins from ethanol based on the PSOBP algorithm von He, Ze-Hua

    ISSN: 1382-6905, 1573-2886
    Veröffentlicht: New York Springer US 01.07.2023
    Veröffentlicht in Journal of combinatorial optimization (01.07.2023)
    “… methods based on data distribution patterns. Secondly, SVM regression, Gaussian process regression, and BP neural network regression models were used to investigate and select the best models for ethanol conversion and C4 olefin yield …”
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    Journal Article
  20. 20

    Fault detection of key parts of wind turbine based on BP neural network combination prediction model von Zhang, Jingjing, Liu, Liming, Wang, Lei, Xi, Wei

    ISSN: 2520-8942, 2520-8942
    Veröffentlicht: Cham Springer International Publishing 01.12.2024
    Veröffentlicht in Energy Informatics (01.12.2024)
    “… A BP neural network incorporated regression forecast technique based upon fragment swarm optimization (PSO …”
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    Journal Article