Search Results - (( _ evaluation model algorithm ) OR ( parameter adoption based algorithm ))

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  1. 1

    A comparative study for parameter selection in online auctions by Gan, Kim Soon

    Published 2009
    “…Self adaptation genetic algorithm is the last model that will be used to evolve the bidding strategy. …”
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    Thesis
  2. 2

    Evaluation of the Transfer Learning Models in Wafer Defects Classification by Jessnor Arif, Mat Jizat, Anwar, P. P. Abdul Majeed, Ahmad Fakhri, Ab. Nasir, Zahari, Taha, Yuen, Edmund, Lim, Shi Xuen

    Published 2022
    “…All the algorithms were pretrained from ImageNet data-base before training with the wafer defect images. …”
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    Conference or Workshop Item
  3. 3

    Calibration of optical based silicone tactile sensor based on image deformation technique / Abdul Halim Esa by Esa, Abdul Halim

    Published 2016
    “…Based on these three parameters, three different types of algorithm are developed in order to measure experimentally the forces and deformation based on optical information of the tactile sensor. …”
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    Thesis
  4. 4

    A Hybrid Neural Network-Based Improved PSO Algorithm for Gas Turbine Emissions Prediction by Yousif S.T., Ismail F.B., Al-Bazi A.

    Published 2025
    “…This study proposes a hybrid model integrating the Feed forward Neural Network (FFNN) model and Particle Swarm Optimization (PSO) algorithm to predict gas emissions from natural gas power plants. …”
    Article
  5. 5

    Evaluation of new rotor angle deviation regulator for synchronous generator using nonlinear swing equation by Mohamad Murad, Nor Syaza Farhana

    Published 2024
    “…In order to obtain stabilization upon rotor angle deviation, a regulator based on the Lypapunov algorithm for a synchronous generator is proposed in this research. …”
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    Thesis
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  7. 7

    Extremal region detection and selection with fuzzy encoding for food recognition by Razali @ Ghazali, Mohd Norhisham

    Published 2019
    “…The performance of algorithms was measured based on classification accuracy, error rate, and precision and recall. …”
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    Thesis
  8. 8

    Adapting robot kinematics for human-arm motion recognition by Chan, C.S., Liu, H., Brown, D.

    Published 2007
    “…Finally, classification of the human-arm motion is achieved by comparing the QNTs to the parameters learnt with particle filter based motion tracking algorithm. …”
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    Article
  9. 9

    Optimization of operations of reservoir systems for hydropower generation in Tigris River Basin, Iraq by Al-Aqeel, Yousif Hashim Abdullah

    Published 2016
    “…The performances of these two algorithms were evaluated through comparing their optimal values. …”
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    Thesis
  10. 10

    Model-free controller design based on simultaneous perturbation stochastic approximation by Mohd Ashraf, Ahmad

    Published 2015
    “…Here, a simultaneous perturbation stochastic approximation (SPSA) algorithm is suggested as a promising tool for the model-free control approach. …”
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    Thesis
  11. 11

    SWAT and ANN model hydrological assessment using Malaysia soil data / Khairi Khalid by Khalid, Khairi

    Published 2017
    “…SWAT-CUP, which links SUFI-2 algorithm to SWAT models, has been utilized in the study for the calibration of SWAT models. …”
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    Thesis
  12. 12

    Identification of Continuous-Time Hammerstein Systems by Simultaneous Perturbation Stochastic Approximation by Mohd Ashraf, Ahmad, Azuma, Shun-ichi, Sugie, Toshiharu

    Published 2016
    “…The effectiveness of the proposed method is evaluated through several numerical examples. The results demonstrate that the proposed algorithm is useful to obtain accurate models, even for high-dimensional parameter identification.…”
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    Article
  13. 13

    ARTIFICIAL NEURAL NETWORK FOR WATER LEVEL PREDICTION IN A RIVER UNDER TIDAL INFLUENCE by Maliana, Sa'ad

    Published 2004
    “…This model generated the highest R Testing of 0.9425 when trained with the scaled conjugate gradient algorithm (trainscg). …”
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    Final Year Project Report / IMRAD
  14. 14

    Modelling hourly runoff using ann for sg. Sarawak Kanan Basin by Chong, Kah Weng.

    Published 2005
    “…This model generated the highest R Testing of 0.896 when trained with the scaled conjugate gradient algorithm (TRAINSCG). …”
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    Final Year Project Report / IMRAD
  15. 15

    Workload performance evaluation of large spatial database for DSS based disaster management by Rohman, Muhammad Syaifur

    Published 2017
    “…Additionally, the results of the study indicated that the prediction model for workload performance evaluation using CBR that is optimized with Hash Search technique for determining workload data on Shortest Path analysis via the employment of Dijkstra algorithm can be useful for the prediction of incoming workload based on the status of the DBMS parameters. …”
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    Thesis
  16. 16

    Improving Attentive Sequence-to-Sequence Generative-Based Chatbot Model Using Deep Neural Network Approach by Wan Solehah, Wan Ahmad

    Published 2022
    “…However, it is difficult to create and train a Generative-Based chatbot model that can maintain relevancy of dialogue generation in a long conversation. …”
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    Thesis
  17. 17

    Multi leader particle swarm optimization for optimal placement and sizing of multiple distributed generation for a micro grid by Ariya Sinhalage Buddhika Eshan Karunarathne

    Published 2023
    “…In addition, the solutions have been evaluated based on pre-defined performance metrics and the outcomes of the optimization framework were compared with the other existing optimization techniques to evaluate the potency and the productivity of the developed MLPSO algorithm. …”
    text::Thesis
  18. 18

    Shear strength test on unsaturated soil using natural microscopic surface tension force / Basharudin Abdul Hadi by Abdul Hadi, Basharudin

    Published 2017
    “…There were two sets of algorithms in developing the UPLRB ANN model and every algorithm set consisted of model inputs data preparation, neural network 29 30 base of the specimen until the flow ceased..…”
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    Book Section
  19. 19

    Parameter estimation of Kumaraswamy Burr type X models based on cure models with or without covariates by Yusuf, Madaki Umar

    Published 2017
    “…Asa consequence of this, it can be used suitably for censored data. Based on the problem stated, we develop a new model using the method of confounding the existing parametric models by adopting the BX model as the baseline distribution. …”
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    Thesis
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