Suchergebnisse - "deep stack autoencoder"

Incorporating Heterogeneous Features into the Random Subspace Method for Bearing Fault Diagnosis

Autoren: Yan Chu Syed Muhammad Ali Mingfeng Lu et al.

Quelle: Entropy, Vol 25, Iss 8, p 1194 (2023)

Schlagwörter: heterogeneous features, random subspace method, bearing fault diagnosis, deep stack autoencoder, lasso, Science, Astrophysics, QB460-466, Physics, QC1-999

Relation: https://www.mdpi.com/1099-4300/25/8/1194; https://doaj.org/toc/1099-4300; https://doaj.org/article/3acb3794c8c34b56ab148f36b36be24a

Verfügbarkeit: https://doi.org/10.3390/e25081194
https://doaj.org/article/3acb3794c8c34b56ab148f36b36be24a

Application of deep stack autoencoder network in ship weight estimation

Autoren: CHEN Jian,TANG Junyao,ZHU Shengguang,ZHOU Zhaozhao

Quelle: Jisuanji gongcheng, Vol 45, Iss 5, Pp 315-320 (2019)

Schlagwörter: airbag ship launching, deep learning, inverse gradient descent, deep stack autoencoder, layer by layer unsupervised learning, parameters fine-tuning, Computer engineering. Computer hardware, TK7885-7895, Computer software, QA76.75-76.765

Dateibeschreibung: electronic resource

Relation: https://www.ecice06.com/fileup/1000-3428/PDF/195315.pdf; https://doaj.org/toc/1000-3428

Zugangs-URL: https://doaj.org/article/0686b609d7de426aa1e6e2d879173cc7