Search alternatives:
model optimization » codon optimization (Expand Search), global optimization (Expand Search), wolf optimization (Expand Search)
based optimization » whale optimization (Expand Search)
linear based » lines based (Expand Search), linear unbiased (Expand Search), linear lagged (Expand Search)
binary layer » boundary layer (Expand Search), final layer (Expand Search), linear layer (Expand Search)
layer based » laser based (Expand Search), paper based (Expand Search), water based (Expand Search)
Showing 1 - 20 results of 747 for search '(( linear based model optimization algorithm ) OR ( binary layer based optimization algorithm ))', query time: 0.64s Refine Results
  1. 1
    Illustration of linear prediction model.

    Illustration of linear prediction model. by Qingyang Zhang (626047)

    Published 2021
    Save to List
    Saved in:
  2. 2
    Flowchart of whale flock optimization algorithm.

    Flowchart of whale flock optimization algorithm. by Rongxin Gong (18864603)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  3. 3
    Flowchart of chaos light optimization model based on MOGA.

    Flowchart of chaos light optimization model based on MOGA. by Jian Kong (164512)

    Published 2024
    Save to List
    Saved in:
  4. 4
    The AD-PSO-Guided WOA LSTM algorithm RMSE is based on the objective function compared to different algorithms.

    The AD-PSO-Guided WOA LSTM algorithm RMSE is based on the objective function compared to different algorithms. by Ahmed M. Elshewey (21463867)

    Published 2025
    Save to List
    Saved in:
  5. 5
    Optimized model fitting results.

    Optimized model fitting results. by Rongxin Gong (18864603)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  6. 6
    Convergence curve of CPO optimization algorithm for carbon market.

    Convergence curve of CPO optimization algorithm for carbon market. by Yaoyang Yi (21627403)

    Published 2025
    Save to List
    Saved in:
  7. 7
    Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information.

    Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information. by Yuanchen Zhao (12905580)

    Published 2024
    Save to List
    Saved in:
  8. 8
    Analysis of ABIDE dataset: Conventional regression frameworks for optimized algorithmic value.

    Analysis of ABIDE dataset: Conventional regression frameworks for optimized algorithmic value. by Alexandria M. Jensen (6494957)

    Published 2024
    Save to List
    Saved in:
  9. 9
    If datasets are small and/or noisy, linear-regression-based algorithms for identifying functional groups outperform more complex versions.

    If datasets are small and/or noisy, linear-regression-based algorithms for identifying functional groups outperform more complex versions. by Yuanchen Zhao (12905580)

    Published 2024
    Save to List
    Saved in:
  10. 10
    Deviations from the optimal SINR versus the SNR value.

    Deviations from the optimal SINR versus the SNR value. by Lin Chang (785086)

    Published 2023
    Subjects:
    Save to List
    Saved in:
  11. 11
    Deviations from the optimal SINR versus the SNR value.

    Deviations from the optimal SINR versus the SNR value. by Lin Chang (785086)

    Published 2023
    Subjects:
    Save to List
    Saved in:
  12. 12
    Deviations from the optimal SINR versus the SNR value.

    Deviations from the optimal SINR versus the SNR value. by Lin Chang (785086)

    Published 2023
    Subjects:
    Save to List
    Saved in:
  13. 13
    A MATHEMATICAL OPTIMIZATION APPROACH BASED ON LINEARIZED MIP MODELS FOR SOLVING FACILITY LAYOUT PROBLEMS

    A MATHEMATICAL OPTIMIZATION APPROACH BASED ON LINEARIZED MIP MODELS FOR SOLVING FACILITY LAYOUT PROBLEMS by Evelyn Michelle Henrique Braga (13117440)

    Published 2022
    “…Then, a mathematical optimization approach based on the linearization of the models is applied. …”
    Save to List
    Saved in:
  14. 14
    Flowchart of hybrid optimization.

    Flowchart of hybrid optimization. by T. Anuradha Devi (18554708)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  15. 15
    Hybrid optimization parameters.

    Hybrid optimization parameters. by T. Anuradha Devi (18554708)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  16. 16
    A spatial plot of optimal solution for parametrized base case.

    A spatial plot of optimal solution for parametrized base case. by Ryu B. Lippmann (14797597)

    Published 2023
    Save to List
    Saved in:
  17. 17
    Output groupings of the 3 algorithms for a linear degradation chain of <i>N</i> = 3 metabolites.

    Output groupings of the 3 algorithms for a linear degradation chain of <i>N</i> = 3 metabolites. by Yuanchen Zhao (12905580)

    Published 2024
    Save to List
    Saved in:
  18. 18
    Efficient estimation of generalized linear latent variable models

    Efficient estimation of generalized linear latent variable models by Jenni Niku (6655583)

    Published 2019
    “…To fill this gap, we show in this paper how to obtain computationally convenient estimation algorithms based on a combination of either the Laplace approximation method or variational approximation method, and automatic optimization techniques implemented in R software. …”
    Save to List
    Saved in:
  19. 19
    Description of model parameters and assumed values based on expert elicitation and estimates.

    Description of model parameters and assumed values based on expert elicitation and estimates. by Ryu B. Lippmann (14797597)

    Published 2023
    Save to List
    Saved in:
  20. 20
    Proposed model parameter and specification.

    Proposed model parameter and specification. by T. Anuradha Devi (18554708)

    Published 2024
    Subjects:
    Save to List
    Saved in:

Search Tools: