Search Results - "stacked pruning sparse denoising autoencoder"

RETRACTED: A Novel Day- ahead Electricity Price Forecasting Using multi-modal combined Integration via Stacked Pruning Sparse Denoising Auto Encoder

Authors: Leiming Li Sara Saeedi Bingquan Liu et al.

Source: Energy Reports, Vol 7, Iss, Pp 2201-2213 (2021)

Subject Terms: Electricity Price Forecasting, Sufficient Dimension Reduction, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Deep Neural Network, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, Stacked pruning sparse denoising autoencoder, Maximum Separation Subspace, 7. Clean energy, Tensor Canonical Correlation Analysis, TK1-9971

Access URL: https://doaj.org/article/3b490787f5db41ffbe39b973c6cbc800
https://www.sciencedirect.com/science/article/abs/pii/S2352484721002249
https://www.sciencedirect.com/science/article/pii/S2352484721002249

Intelligent Fault Diagnosis Method for Blade Damage of Quad-Rotor UAV Based on Stacked Pruning Sparse Denoising Autoencoder and Convolutional Neural Network

Authors: Pu Yang Chenwan Wen Huilin Geng et al.

Source: Machines, Vol 9, Iss 360, p 360 (2021)

Subject Terms: intelligent fault diagnosis, stacked pruning sparse denoising autoencoder, convolutional neural network, anti-noise, Mechanical engineering and machinery, TJ1-1570

Relation: https://www.mdpi.com/2075-1702/9/12/360; https://doaj.org/toc/2075-1702; https://doaj.org/article/57fd1ddf636d4ff7816cfd2cd17bcfcf

Availability: https://doi.org/10.3390/machines9120360
https://doaj.org/article/57fd1ddf636d4ff7816cfd2cd17bcfcf

Deep Learning-Based Machinery Fault Diagnostics

Contributors: Chen, Hongtian Zhong, Kai Ran, Guangtao et al.

Subject Terms: process monitoring, dynamics, variable time lag, dynamic autoregressive latent variables model, sintering process, hammerstein output-error systems, auxiliary model, multi-innovation identification theory, fractional-order calculus theory, canonical variate analysis, disturbance detection, power transmission system, k-nearest neighbor analysis, statistical local analysis, intelligent fault diagnosis, stacked pruning sparse denoising autoencoder, convolutional neural network, anti-noise, flywheel fault diagnosis, belief rule base, fuzzy fault tree analysis, Bayesian network, evidential reasoning, aluminum reduction process, alumina concentration, subspace identification, distributed predictive control, spatiotemporal feature fusion, gated recurrent unit, attention mechanism

File Description: application/octet-stream

Relation: ONIX_20221025_9783036551739_23; https://mdpi.com/books/pdfview/book/6065

Availability: https://directory.doabooks.org/handle/20.500.12854/93169
https://hdl.handle.net/20.500.12854/93169
https://mdpi.com/books/pdfview/book/6065