Search Results - "Rere, L. M. Rasdi"

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  1. 1

    Metaheuristic Algorithms for Convolution Neural Network by Rere, L. M. Rasdi, Arymurthy, Aniati Murni, Fanany, Mohamad Ivan

    “…A typical modern optimization technique is usually either heuristic or metaheuristic. This technique has managed to solve some optimization problems in the…”
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    Journal Article
  2. 2

    Optimization of convolutional neural network using microcanonical annealing algorithm by Ayumi, Vina, Rasdi Rere, L. M., Fanany, Mohamad Ivan, Arymurthy, Aniati Murni

    “…Convolutional neural network (CNN) is one of the most prominent architectures and algorithm in Deep Learning. It shows a remarkable improvement in the…”
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    Conference Proceeding
  3. 3

    Metaheuristic Algorithms for Convolution Neural Network by Rere, L. M. Rasdi, Fanany, Mohamad Ivan, Arymurthy, Aniati Murni

    Published 06-10-2016
    “…Computational Intelligence and Neuroscience Volume 2016 (2016), Article ID 1537325, 13 pages A typical modern optimization technique is usually either…”
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    Journal Article
  4. 4

    Optimization of Convolutional Neural Network using Microcanonical Annealing Algorithm by Ayumi, Vina, Rere, L. M. Rasdi, Fanany, Mohamad Ivan, Arymurthy, Aniati Murni

    Published 07-10-2016
    “…Convolutional neural network (CNN) is one of the most prominent architectures and algorithm in Deep Learning. It shows a remarkable improvement in the…”
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    Journal Article
  5. 5

    Application of metaheuristic algorithms for optimal smartphone-photo enhancement by Rasdi Rere, L. M., Fanany, M. Ivan, Murni, A.

    “…Nowadays taking a photo from smartphones is widely popular because of their simplicity and convenience, but the images from them sometimes suffer from…”
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    Conference Proceeding
  6. 6

    Adaptive DE based on chaotic sequences and random adjustment for image Contrast Enhancement by Rasdi Rere, L. M., Fanany, M. Ivan, Murni, A.

    “…Differential Evolution (DE) is one of the powerful optimization methods. Performance of this algorithm is significantly relying on its parameter setting. These…”
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    Conference Proceeding