Search Results - regression ((line algorithm) OR (((new algorithm) OR (bees algorithm))))

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  1. 1
    Hydroclimatic data prediction using a new ensemble group method of data handling coupled with artificial bee colony algorithm

    Hydroclimatic data prediction using a new ensemble group method of data handling coupled with artificial bee colony algorithm by Basri Badyalina, Nurkhairany Amyra Mokhtar, Nur Amalina Mat Jan, Muhammad Fadhil Marsani, Mohamad Faizal Ramli, Muhammad Majid, Fatin Farazh Ya'acob

    Published 2022
    “…Then, ensemble averaging combines the output from those various transfer functions and becomes the new ensemble GMDH model coupled with the ABC algorithm (EGMDH-ABC) model. …”
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  2. 2
    A framework of test case prioritisation in regression testing using particle swarm-artificial bee colony algorithm

    A framework of test case prioritisation in regression testing using particle swarm-artificial bee colony algorithm by Ba-Quttayyan, Bakr Salim Abdullah

    Published 2024
    “…The contributions of this study straddle research perspectives of enhancing Regression Testing with Particle Swarm-Artificial Bee Colony Algorithm, and practical perspectives by providing software testing practitioners the TCP framework that can facilitate and accelerate the production of high-quality software products by revealing faults early and reducing time, cost, and human efforts through automation.…”
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  3. 3
    Prediction of forex trend movement using linear regression line, two-stage of multi-layer perceptron and dynamic time warping algorithms

    Prediction of forex trend movement using linear regression line, two-stage of multi-layer perceptron and dynamic time warping algorithms by Tiong, Leslie Ching Ow *, Ngo, David Chek Ling *, Lee, Yunli *

    Published 2016
    “…This paper aims to investigate the repeated trend patterns as features from historical Forex data, which proposes new combination techniques - Linear Regression Line, two-stage of Multi-Layer Perceptron and Dynamic Time Warping algorithms in order to improve the performance of prediction significantly, thus achieving greater accuracy.…”
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  4. 4
    Prediction of Forex trend movement using linear regression line, two-stage of multi-layer perceptron and dynamic time warping algorithms

    Prediction of Forex trend movement using linear regression line, two-stage of multi-layer perceptron and dynamic time warping algorithms by Leslie, Tiong Ching Ow, David, Chek Ling Ngo, Lee, Yunli

    Published 2016
    “…This paper aims to investigate the repeated trend patterns as features from historical Forex data, which proposes new combination techniques - Linear Regression Line, two-stage of Multi-Layer Perceptron and Dynamic Time Warping algorithms in order to improve the performance of prediction significantly, thus achiev­ing greater accuracy…”
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  5. 5
    Extended spatial decision tree algorithm for classifying hotspot occurrence

    Extended spatial decision tree algorithm for classifying hotspot occurrence by Sitanggang, Imas Sukaesih

    Published 2013
    “…For comparison, classifiers for hotspots occurrence were also developed using the non-spatial methods namely the ID3 algorithm and the C4.5 algorithm as well as the logistic regression. …”
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  6. 6
    Depth Map Estimation based on Linear Regression using Image Focus

    Depth Map Estimation based on Linear Regression using Image Focus by Malik , Aamir Saeed, Song, Taek Lyul, Choi, Tae-Sun

    Published 2011
    “…Then linear regression model is used to find lines that approximate these datasets. …”
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  7. 7
    Extension of RMIL conjugate gradient method for unconstrained optimization / Nur Idalisa Norddin

    Extension of RMIL conjugate gradient method for unconstrained optimization / Nur Idalisa Norddin by Norddin, Nur Idalisa

    Published 2023
    “…Sufficient Descent Condition (SDC) and global convergence qualities for both the exact and the strong Wolfe line search were demonstrated to exist in NEWRMIL algorithm. …”
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  8. 8
    A hybrid ART-GRNN online learning neural network with a ?-insensitive loss function

    A hybrid ART-GRNN online learning neural network with a ?-insensitive loss function by Yap K.S., Lim C.P., Abidin I.Z.

    Published 2023
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  9. 9
    Estimation of optimal machining control parameters using artificial bee colony

    Estimation of optimal machining control parameters using artificial bee colony by Norfadzlan, Yusup, Arezoo, Sarkheyli, Azlan, Mohd Zain, Siti Zaiton, Mohd Hashim, Norafida, Ithnin

    Published 2013
    “…It was reported by previous researches that artificial bee colony (ABC) algorithm has less computation time requirement and offered optimal solution due to its excellent global and local search capability compared to the other optimization soft computing techniques. …”
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  10. 10
    Forex trading prediction using linear regression line, artificial neural network and dynamic time warping algorithms

    Forex trading prediction using linear regression line, artificial neural network and dynamic time warping algorithms by Tiong, Leslie C.O., Ngo, David C.L., Lee, Yunli

    Published 2013
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  11. 11
    Classification of Distracted Male Driver Based on Driving Performance Indicator (DPI)

    Classification of Distracted Male Driver Based on Driving Performance Indicator (DPI) by Ganasan, Shatiskumar, Norazlianie, Sazali

    Published 2024
    “…We applied these algorithms on their datasets using its GUI or command-line parameters. …”
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  12. 12
    The Application of Conjugate Gradient Methods to Optimize 3D Printed Parameters

    The Application of Conjugate Gradient Methods to Optimize 3D Printed Parameters by Nurul Hajar, Nurul ‘Aini, Norrlaili Shapiee, Mohd Rivaie, Adam Samsudin, Nor Hafizah Hussin, Siti Haryanti Hairol Anuar

    Published 2024
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  13. 13
    Short term load forecasting using a hybrid neural network

    Short term load forecasting using a hybrid neural network by Yap K.S., Abidin I.Z., Lim C.P., Shah M.S.

    Published 2023
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    Conference paper
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  14. 14
    Three-term conjugate gradient method under Armijo line search for unemployment rate in Malaysia / Muhammad Fiqhi Zulkifli

    Three-term conjugate gradient method under Armijo line search for unemployment rate in Malaysia / Muhammad Fiqhi Zulkifli by Zulkifli, Muhammad Fiqhi

    Published 2023
    “…TTDY is the most effective method based on numerical results but only TTRMIL+ can be applied in regression analysis.…”
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  15. 15
    Sales prediction for media platforms advertising expenditure using Linear Regression / Nur Athirah Abdurahman

    Sales prediction for media platforms advertising expenditure using Linear Regression / Nur Athirah Abdurahman by Abdurahman, Nur Athirah

    Published 2023
    “…The study focuses on the application of the Linear Regression algorithm to predict sales outcomes based on advertising spending patterns. …”
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  16. 16
    Artificial intelligent power prediction for efficient resource management of WCDMA mobile network

    Artificial intelligent power prediction for efficient resource management of WCDMA mobile network by Tee Y.K., Tinng S.K., Koh J., David Y.

    Published 2023
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  17. 17
    Outlier detection in circular regression model using minimum spanning tree method

    Outlier detection in circular regression model using minimum spanning tree method by Nur Faraidah, Muhammad Di, Siti Zanariah, Satari, Roslinazairimah, Zakaria

    Published 2019
    “…Therefore, this study aims to develop new algorithms that can detect outliers by using the minimum spanning tree method. …”
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  18. 18
    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
    “…This algorithm named JAABC5ROC is the enhancement of Artificial Bee Colony (ABC) variant, JA-ABC5 by combining with Rate of Change (ROC)\. …”
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  19. 19
    Optimal timber transportation planning in tropical hill forest using bees algorithm

    Optimal timber transportation planning in tropical hill forest using bees algorithm by Jamaluddin, Jamhuri

    Published 2022
    “…This study proposed a multi-objective linear programming model with Bees algorithm (BA) to find an optimal cost TTP for extraction, forest road, and landing locations. …”
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  20. 20
    Fault detection of broken rotor bar in LS-PMSM using random forests

    Fault detection of broken rotor bar in LS-PMSM using random forests by Quiroz, Juan C., Mariun, Norman, Mehrjou, Mohammad Rezazadeh, Izadi, Mahdi, Misron, Norhisam, Mohd Radzi, Mohd Amran

    Published 2018
    “…This paper proposes a new approach to diagnose broken rotor bar failure in a line start-permanent magnet synchronous motor (LS-PMSM) using random forests. …”
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