Suchergebnisse - stacked sparse autoencoder(sage)~

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  1. 1

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

    ISSN: 0301-9233, 1743-2812
    Veröffentlicht: 11.07.2025
    Veröffentlicht in 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 …”
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  2. 2

    Stacked sparse autoencoder in cavitation noise signal data classification of hydro turbine based on power spectrum von Kang, Ziyang, Feng, Chi, Wan, Xiaoqing, Liu, Zhiliang, Chen, Liwei

    ISSN: 1461-3484, 2048-4046
    Veröffentlicht: London, England SAGE Publications 01.06.2020
    “… The stacked sparse autoencoder (SSA) nuclear framework is utilized to learn more abstract and invariant high-level features from the multiple feature sets …”
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  3. 3

    Image fusion based on shift invariant shearlet transform and stacked sparse autoencoder von Wang, Peng-Fei, Luo, Xiao-Qing, Li, Xin-Yi, Zhang, Zhan-Cheng

    ISSN: 1748-3026, 1748-3018, 1748-3026
    Veröffentlicht: London, England SAGE Publications 01.06.2018
    Veröffentlicht in Journal of algorithms & computational technology (01.06.2018)
    “… Stacked sparse autoencoder is an efficient unsupervised feature extraction method, which has excellent ability in representation of complex data …”
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  4. 4

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

    ISSN: 1687-8132, 1687-8140, 1687-8140
    Veröffentlicht: London, England SAGE Publications 01.09.2018
    Veröffentlicht in 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 …”
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  5. 5

    Deep Learning Role in Early Diagnosis of Prostate Cancer von Reda, Islam, Khalil, Ashraf, Elmogy, Mohammed, Abou El-Fetouh, Ahmed, Shalaby, Ahmed, Abou El-Ghar, Mohamed, Elmaghraby, Adel, Ghazal, Mohammed, El-Baz, Ayman

    ISSN: 1533-0346, 1533-0338, 1533-0338
    Veröffentlicht: Los Angeles, CA SAGE Publications 01.01.2018
    Veröffentlicht in Technology in cancer research & treatment (01.01.2018)
    “… The objective of this work is to develop a computer-aided diagnostic system for early diagnosis of prostate cancer. The presented system integrates both …”
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