Search Results - (( its application learning algorithm ) OR ( some applications learning algorithms ))

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  1. 1
    A modified generalized RBF model with EM-based learning algorithm for medical applications

    A modified generalized RBF model with EM-based learning algorithm for medical applications by Ma, Li Ya, Abdul Rahman, Abdul Wahab, Quek, Chai

    Published 2006
    “…An EM-based training algorithm is also introduced, which uses fewer parameters compared to some classical supervised learning methods. …”
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  2. 2
    Multi-Backpropagation network

    Multi-Backpropagation network by Wan Ishak, Wan Hussain, Siraj, Fadzilah, Othman, Abu Talib

    Published 2002
    “…The learning mechanism for Neural Network is its learning algorithm. …”
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  3. 3
    Three-term backpropagation algorithm for classification problem

    Three-term backpropagation algorithm for classification problem by Saman, Fadhlina Izzah

    Published 2006
    “…Standard Backpropagation Algorithm (BP) is a widely used algorithm in training Neural Network that is proven to be very successful in many diverse application. …”
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  4. 4
    Particle swarm optimization for neural network learning enhancement

    Particle swarm optimization for neural network learning enhancement by Abdull Hamed, Haza Nuzly

    Published 2006
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  5. 5
    Differential evolution for neural networks learning enhancement

    Differential evolution for neural networks learning enhancement by Ismail Wdaa, Abdul Sttar

    Published 2008
    “…These algorithms can be used successfully in many applications requiring the optimization of a certain multi-dimensional function. …”
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  6. 6
    A review of hybrid deep learning applications for streamflow forecasting

    A review of hybrid deep learning applications for streamflow forecasting by Ng K.W., Huang Y.F., Koo C.H., Chong K.L., El-Shafie A., Najah Ahmed A.

    Published 2024
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  7. 7
    Alzheimer’s diseases detection by using deep learning algorithms: A mini-review

    Alzheimer’s diseases detection by using deep learning algorithms: A mini-review by Al-Shoukry, Suhad, Rassem, Taha H., Makbol, Nasrin M.

    Published 2020
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  8. 8
    Advances of metaheuristic algorithms in training neural networks for industrial applications

    Advances of metaheuristic algorithms in training neural networks for industrial applications by Chong H.Y., Yap H.J., Tan S.C., Yap K.S., Wong S.Y.

    Published 2023
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  9. 9
    Alzheimer's diseases detection by using deep learning algorithms: a mini-review

    Alzheimer's diseases detection by using deep learning algorithms: a mini-review by Al-Shoukry, Suhad, Rassem, Taha H., Makbol, Nasrin M.

    Published 2020
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  10. 10
    Static hand gesture recognition using artificial neural network / Haitham Sabah Hasan

    Static hand gesture recognition using artificial neural network / Haitham Sabah Hasan by Hasan, Haitham Sabah

    Published 2014
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  11. 11
    Machine learning in botda fibre sensor for distributed temperature measurement

    Machine learning in botda fibre sensor for distributed temperature measurement by Nur Dalilla binti Nordin

    Published 2023
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  12. 12
    Alzheimer's diseases detection by using deep learning algorithms: A mini-review

    Alzheimer's diseases detection by using deep learning algorithms: A mini-review by Al-Shoukry, Suhad, Rassem, Taha H., Makbol, Nasrin M.

    Published 2020
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  13. 13
    A systematic literature review of deep learning neural network for time series air quality forecasting

    A systematic literature review of deep learning neural network for time series air quality forecasting by Zaini N., Ean L.W., Ahmed A.N., Malek M.A.

    Published 2023
    Review
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  14. 14
    Deploying blockchains to simplify AI algorithm auditing

    Deploying blockchains to simplify AI algorithm auditing by Butt, Ayesha, Zahid Junejo, Aisha, Ghulamani, Sumbul, Mahdi, Ghulam, Shah, Asadullah, Khan, Dodo

    Published 2023
    “…With increasing applications of AI algorithms, the concerns regarding its outcomes have also increased due to bias. …”
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  15. 15
    An enhanced opposition-based firefly algorithm for solving complex optimization problems

    An enhanced opposition-based firefly algorithm for solving complex optimization problems by Ling, Ai Wong, Hussain Shareef, Azah Mohamed, Ahmad Asrul Ibrahim

    Published 2014
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  16. 16
    Development of a genetic algorithm controller for cartesian robot

    Development of a genetic algorithm controller for cartesian robot by Ong, Joo Hun

    Published 2008
    “…In some daily tasks such as drilling, laser marking or spot welding application, the Cartesian robot is requested to reach with its hand tip to a desired target location. …”
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  17. 17
    Water level forecasting using feed forward neural networks optimized by African Buffalo Algorithm (ABO)

    Water level forecasting using feed forward neural networks optimized by African Buffalo Algorithm (ABO) by Ahmed, Ehab Ali

    Published 2019
    “…These algorithms have succeeded with different accuracy levels, but it is still suffering from some weaknesses. …”
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  18. 18
    Cooperative spectrum sensing based on machine learning in cognitive radio vehicular network / Mohammad Asif Hossain

    Cooperative spectrum sensing based on machine learning in cognitive radio vehicular network / Mohammad Asif Hossain by Mohammad Asif , Hossain

    Published 2022
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  19. 19
    A critical insight into pragmatic manifestation of diabetic retinopathy grading and detection

    A critical insight into pragmatic manifestation of diabetic retinopathy grading and detection by Sallam, Muhammad Samer, Olanrewaju, Rashidah Funke, Asnawi, Ani Liza

    Published 2019
    “…Various concepts in deep learning including traditional Artificial Neural Network (ANN) algorithm, ANN drawbacks in context of computer vision and image processing applications, and the best algorithm to overcome ANN drawbacks, CNN, have been elucidated along with the architecture. …”
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  20. 20
    Named entity recognition using a new fuzzy support vector machine.

    Named entity recognition using a new fuzzy support vector machine. by Mansouri, Alireza, Affendy, Lilly Suriani, Mamat, Ali

    Published 2008
    “…Machine learning method is more famous and applicable than others, because it’s more portable and domain independent. …”
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