Výsledky vyhledávání - sparse denoising autoencoder (sage)

  • Zobrazuji výsledky 1 - 4 z 4
Upřesnit hledání
  1. 1

    Flatness pattern recognition based on stacked sparse denoising autoencoder and improved Osprey optimisation algorithm kernel-extreme learning machine Autor Zhou, Yaluo, Zhang, Shaochuan, Liu, Wenguang, Zhang, Ruicheng

    ISSN: 0301-9233, 1743-2812
    Vydáno: 11.07.2025
    Vydáno v Ironmaking & steelmaking (11.07.2025)
    “… proposes a flatness recognition method based on stack sparse denoising autoencoder (SSDAE) with improved Osprey optimisation algorithm kernel-extreme learning machine…”
    Získat plný text
    Journal Article
  2. 2

    Autoencoder-based patch learning for real-world image denoising Autor Chen, Fei, Chen, Haiqing, Zeng, Xunxun, Wang, Meiqing

    ISSN: 1748-3018, 1748-3026
    Vydáno: London, England SAGE Publications 01.11.2019
    “… By exploiting learned external prior and internal self-similarity jointly, we develop an efficient patch sparse coding scheme for real-world image denoising…”
    Získat plný text
    Journal Article
  3. 3

    Boosting sparsity-induced autoencoder: A novel sparse feature ensemble learning for image classification Autor Shi, Rui, Ji, Jian, Zhang, Chunhui, Miao, Qiguang

    ISSN: 1729-8806, 1729-8814
    Vydáno: London, England SAGE Publications 01.05.2019
    “…As a kind of unsupervised learning model, the autoencoder is usually adopted to perform the pretraining to obtain the optimal initial value of parameter space, so as to avoid the local minimality…”
    Získat plný text
    Journal Article
  4. 4

    A deep feature extraction method for bearing fault diagnosis based on empirical mode decomposition and kernel function Autor Wang, Fengtao, Deng, Gang, Liu, Chenxi, Su, Wensheng, Han, Qingkai, Li, Hongkun

    ISSN: 1687-8132, 1687-8140, 1687-8140
    Vydáno: London, England SAGE Publications 01.09.2018
    Vydáno v Advances in mechanical engineering (01.09.2018)
    “…, which are regarded as the inputs of the proposed stacked kernel sparse autoencoder network. The proposed method does not depend on prior knowledge of fault diagnosis…”
    Získat plný text
    Journal Article