Search Results - (hyperparameter OR hyperparameters) optimization

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  1. 1
    COMPARATIVE STUDY OF SURROGATE TECHNIQUES FOR HYPERPARAMETER OPTIMIZATION IN CONVOLUTIONAL NEURAL NETWORK

    COMPARATIVE STUDY OF SURROGATE TECHNIQUES FOR HYPERPARAMETER OPTIMIZATION IN CONVOLUTIONAL NEURAL NETWORK by MOHD ASZEMI, NURSHAZLYN

    Published 2023
    “…Optimizing hyperparameters in CNN is tedious for many researchers and practitioners. it requires a high degree of expertise or a lot of experience to optimize the hyperparameter and such manual optimization is likely to be biased. …”
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  2. 2
    Hyperparameter tuning of deep neural network in time series forecasting

    Hyperparameter tuning of deep neural network in time series forecasting by Xiang, Kelly Pang Li, Syafrina, Abdul Halim, Nur Haizum, Abd Rahman

    Published 2024
    “…Hence, this study aims to optimize the performance of DANN in time series forecasting by tuning two important hyperparameters: the number of epochs and batch size. …”
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  3. 3
    A review on the hyperparameters used in machine learning approaches for classifying paddy rice field

    A review on the hyperparameters used in machine learning approaches for classifying paddy rice field by Lerryson Jomin, Rayner Alfred

    Published 2022
    “…The research aims to find the optimal range of hyperparameters to assess their performance. …”
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    Proceedings
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  4. 4
    Hyperparameter tuning of the model for hunger state classification

    Hyperparameter tuning of the model for hunger state classification by Razman, Mohd Azraan, Abdul Majeed, Anwar P.P., Musa, Rabiu Muazu, Taha, Zahari, Susto, Gian Antonio, Mukai, Yukinori

    Published 2020
    “…To further improve the design effi6 ciency, the secondary optimization level called hyperparameter tuning will be further 7 investigated. …”
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  5. 5
    Hyperparameter tuning of deep neural network in time series forecasting

    Hyperparameter tuning of deep neural network in time series forecasting by Abdul Halim, Syafrina, Abd Rahman, Nur Haizum, Xiang, Kelly Pang Li

    Published 2024
    “…Hence, this study aims to optimize the performance of DANN in time series forecasting by tuning two important hyperparameters: the number of epochs and batch size. …”
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  6. 6
    Estimation of elbow flexion torque using equilibrium optimizer on feature selection of NMES MMG signals and hyperparameter tuning of random forest regression

    Estimation of elbow flexion torque using equilibrium optimizer on feature selection of NMES MMG signals and hyperparameter tuning of random forest regression by Raphael, Uwamahoro, Sundaraj, Kenneth, Feroz, Farah Shahnaz

    Published 2025
    “…Given the significance of both feature engineering and hyperparameter tuning in optimizing RFR performance, this study proposes a hybrid method leveraging the General Learning Equilibrium Optimizer (GLEO) to identify most informative MMG features and tune RFR hyperparameters. …”
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  7. 7
    Development of classification model based on training time in hyperparameter for Acute Myeloid Leukemia (AML) / Nurzulaikha Zaidi@Eddie

    Development of classification model based on training time in hyperparameter for Acute Myeloid Leukemia (AML) / Nurzulaikha Zaidi@Eddie by Zaidi@Eddie, Nurzulaikha

    Published 2025
    “…This research emphasizes the importance of hyperparameter tuning and advanced optimization strategies in achieving precise and early AML diagnoses. …”
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  8. 8
    Hyperparameter Optimization Of Evolving Spiking Neural Network Using Salp Swarm Optimizer For Time Series Classification

    Hyperparameter Optimization Of Evolving Spiking Neural Network Using Salp Swarm Optimizer For Time Series Classification by Ibad, Tasbiha

    Published 2022
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  9. 9
    Esport valorant: Optimizing hyperparameters of win rate prediction model using derivative-free method

    Esport valorant: Optimizing hyperparameters of win rate prediction model using derivative-free method by Chang, Yang

    Published 2024
    “…This project developed two predictive models, neural network and XGBoost, and optimized using Bayesian optimization and random search to optimize their hyperparameters. …”
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    Final Year Project / Dissertation / Thesis
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  10. 10
    COMPARATIVE STUDY OF SURROGATE TECHNIQUES FOR HYPERPARAMETER OPTIMIZATION IN CONVOLUTIONAL NEURAL NETWORK

    COMPARATIVE STUDY OF SURROGATE TECHNIQUES FOR HYPERPARAMETER OPTIMIZATION IN CONVOLUTIONAL NEURAL NETWORK by MOHD ASZEMI, NURSHAZLYN

    Published 2023
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  11. 11
    Development of A Hyperparameter-Optimized Machine Learning Model For Enhanced Control Valve Stiction Detection.CW

    Development of A Hyperparameter-Optimized Machine Learning Model For Enhanced Control Valve Stiction Detection.CW by Olanrewaju, Michael Daramola

    Published 2024
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  12. 12
    An improving long short term memory-grid search based deep learning neural network for software effort estimation

    An improving long short term memory-grid search based deep learning neural network for software effort estimation by Marco, Robert, Syed Ahmad, Sharifah Sakinah, Ahmad, Sabrina

    Published 2023
    “…The grid search (GS) optimization method is used to find the best hyperparameter values for deep learning networks, which have many different hyperparameters that affect how well the network architecture works. …”
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  13. 13
    Road damage detection for autonomous driving vehicles using YOLOv8 and salp swarm algorithm

    Road damage detection for autonomous driving vehicles using YOLOv8 and salp swarm algorithm by Nik Ahmad Farihin, Mohd Zulkifli, Zuriani, Mustaffa, Mohd Herwan, Sulaiman

    Published 2025
    “…The YOLOv8 models optimized using SSA are compared with the original YOLOv8 and other YOLO versions (YOLOv5, YOLOv9, and YOLOv10), demonstrating a 3.5% improvement in accuracy after hyperparameter optimization in detecting road damage.…”
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  14. 14
    Heart Disease Risk Prediction using Hyperparameter Optimized Machine Learning with Principal Component Transformed Features

    Heart Disease Risk Prediction using Hyperparameter Optimized Machine Learning with Principal Component Transformed Features by KARNA, VISHNU VARDHANA REDDY

    Published 2023
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  15. 15
    An Efficient Prediction System for Coronary Heart Disease Risk Using Selected Principal Components and Hyperparameter Optimization

    An Efficient Prediction System for Coronary Heart Disease Risk Using Selected Principal Components and Hyperparameter Optimization by Reddy, K.V.V., Elamvazuthi, I., Aziz, A.A., Paramasivam, S., Chua, H.N., Pranavanand, S.

    Published 2023
    “…The experimental result reveals that hyperparameter optimization has improved the accuracy of all the models. …”
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  16. 16
    SOC Estimation Using Deep Bidirectional Gated Recurrent Units with Tree Parzen Estimator Hyperparameter Optimization

    SOC Estimation Using Deep Bidirectional Gated Recurrent Units with Tree Parzen Estimator Hyperparameter Optimization by How D.N.T., Hannan M.A., Lipu M.S.H., Ker P.J., Mansor M., Sahari K.S.M., Muttaqi K.M.

    Published 2023
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  17. 17
    Enhancing hyperparameters of LSTM network models through genetic algorithm for virtual learning environment prediction

    Enhancing hyperparameters of LSTM network models through genetic algorithm for virtual learning environment prediction by Ismanto, Edi, Ab Ghani, Hadhrami, Md Saleh, Nurul Izrin

    Published 2025
    “…This study investigates the optimization of LSTM parameters and hyperparameters for VLE prediction. …”
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  18. 18
    Optimizing Hyperparameters for Improved Melanoma Classification using Metaheuristic Algorithm

    Optimizing Hyperparameters for Improved Melanoma Classification using Metaheuristic Algorithm by Adamu, S., Alhussian, H., Aziz, N., Abdulkadir, S.J., Alwadin, A., Imam, A.A., Garba, A., Saidu, Y.

    Published 2023
    “…While deep neural networks offer the potential for precise melanoma classification, the optimization of hyperparameters remains a major obstacle. …”
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  19. 19
    Optimisation of support vector machine hyperparameters using enhanced artificial bee colony variant to diagnose breast cancer

    Optimisation of support vector machine hyperparameters using enhanced artificial bee colony variant to diagnose breast cancer by Ravindran, Nadarajan

    Published 2023
    “…The performance of SVM can be affected by hyperparameters, which are kernel scale and known as gamma and regularization parameters (C). …”
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  20. 20
    COMPARATIVE STUDY OF SURROGATE TECHNIQUES FOR HYPERPARAMETER OPTIMIZATION IN RECURRENT NEURAL NETWORK

    COMPARATIVE STUDY OF SURROGATE TECHNIQUES FOR HYPERPARAMETER OPTIMIZATION IN RECURRENT NEURAL NETWORK by HILMI, MUHAMMAD ZAHID

    Published 2023
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