Search Results - (( intelligence based m algorithm ) OR ( intelligence based ipms algorithm ))

Refine Results
  1. 1

    Multistage quality control in manufacturing process using blockchain with machine learning technique by Gu, J., Zhao, L., Yue, X., Arshad, N.I., Mohamad, U.H.

    Published 2023
    “…The demand for predictive machine reliability and quality drives the development of intelligent manufacturing technologies. To this goal, a variety of machine learning algorithms are being studied. …”
    Get full text
    Get full text
    Article
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6

    Multi-target tracking algorithm in intelligent transportation based on wireless sensor network by Lei, Yang, Wu, Yuan, Khan Chowdhury, Ahmed Jalal

    Published 2018
    “…The experimental results show that the proposed algorithm has a target tracking error of 0.5 m to 1 m, and the tracking result has high precision…”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  7. 7

    Heuristic computational design of morlet wavelet neural network for solving the higher order singular nonlinear differential equations by Zulqurnain Sabir, Kashif Nisar, Muhammad Asif Zahoor Raja, Ag. Asri Bin Ag. Ibrahim, Joel J.P.C. Rodrigues, K.S. Al-Basyouni, S.R. Mahmoud, Danda B. Rawat

    Published 2021
    “…The aim of this study is to present the numerical solutions of the higher order singular nonlinear differential equations using an advanced intelligent computational approach by manipulating the Morlet wavelet (MW) neural networks (NNs), global approach as genetic algorithm (GA) and quick local search approach as interior-point method (IPM), i.e., GA-IPM. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  8. 8
  9. 9
  10. 10
  11. 11
  12. 12
  13. 13
  14. 14

    A decomposed streamflow non-gradientbased artificial intelligence forecasting algorithm with factoring in aleatoric and epistemic variables / Wei Yaxing by Wei , Yaxing

    Published 2024
    “…Empirical studies of metaheuristic algorithms performance demonstrated that the hybrid metaheuristic algorithms-artificial neural network outperformed the gradient-based artificial neural network (RMSE=113.92 m3/s) for streamflow forecasting, notably with the firefly approach, with an average RMSE=96.06 m3/s. …”
    Get full text
    Get full text
    Get full text
    Thesis
  15. 15
  16. 16
  17. 17
  18. 18
  19. 19
  20. 20