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Showing 1 - 6 results of 6 for search 'linear change processes optimization algorithm', query time: 0.05s Refine Results
  1. 1
    Evolutionary support vector regression for monitoring Poisson profiles

    Evolutionary support vector regression for monitoring Poisson profiles by Ali Yeganeh (16624998)

    Published 2023
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  2. 2
    Auto-NAHL: A Neural Network Approach for Condition-Based Maintenance of Complex Industrial Systems

    Auto-NAHL: A Neural Network Approach for Condition-Based Maintenance of Complex Industrial Systems by Tarek Berghout (16905132)

    Published 2021
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  3. 3
    Loss Model Control for Efficiency Optimization and Advanced Sliding Mode Controllers with Chattering Attenuation for Five-Phase Induction Motor Drive

    Loss Model Control for Efficiency Optimization and Advanced Sliding Mode Controllers with Chattering Attenuation for Five-Phase Induction Motor Drive by Hassen Moussa (19759911)

    Published 2024
    “…Indeed, the main limitations of the PIC are the slower speed response, the tuning difficulty of its parameters, and the sensitivity to changes in system parameters, including variations in process dynamics, load changes, or changes in setpoint. …”
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  4. 4
    Practical Multiple Node Failure Recovery in Distributed Storage Systems

    Practical Multiple Node Failure Recovery in Distributed Storage Systems by Itani, M.

    Published 2016
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  5. 5
    Inferential sensing techniques in industrial applications

    Inferential sensing techniques in industrial applications by Shakil,, Muhammad

    Published 0007
    “…System delays are obtained by approximating the model by a linear model. Genetic algorithm, which is a heuristic optimization technique, is used to ¯nd the system delays of the linear model, which are used in dynamical neural network model. …”
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  6. 6
    MoveSchedule

    MoveSchedule by Zouein, Pierette

    Published 1995
    “…The layout construction algorithm that underlies MoveSchedule uses Constraint Satisfaction to find the set of all positions that meet the constraints on resources' positions and Linear Programming to find the optimal positions that minimize resource transportation and relocation costs. …”
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