Výsledky vyhledávání - Stacked denoising autoencoder*

Automated feature learning for nonlinear process monitoring – An approach using stacked denoising autoencoder and k-nearest neighbor rule Autor Zhang, Zehan, Jiang, Teng, Li, Shuanghong, Yang, Yupu

“…•Automated feature learning based on stacked denoising autoencoder (SDAE) and k-nearest neighbor rule (kNN…”
Získat plný text

Roller bearing fault diagnosis using stacked denoising autoencoder in deep learning and Gath–Geva clustering algorithm without principal component analysis and data label Autor Xu, Fan, Tse, Wai tai Peter, Tse, Yiu Lun

“…Most deep learning models such as stacked autoencoder (SAE) and stacked denoising autoencoder (SDAE…”
Získat plný text

Stacked denoising autoencoder based fault location in voltage source converters‐high voltage direct current Autor Luo, Guomin, Cheng, Mengxiao, Hei, Jiaxin, Wang, Xiaojun, Huang, Weibo, He, Jinghan

“… A stacked denoising autoencoder based fault location method for high voltage direct current transmission systems is proposed…”
Získat plný text

Knock-Knock: Acoustic object recognition by using stacked denoising autoencoders Autor Luo, Shan, Zhu, Leqi, Althoefer, Kaspar, Liu, Hongbin

“… In this paper, stacked denoising autoencoders are applied to train a deep learning model. Knocking each object in our test set 120 times with a marker pen to obtain…”
Získat plný text

Deep learning for electrolysis process anode effect prediction based on long short-term memory network and stacked denoising autoencoder Autor Yin, Gang, Li, Yi-Hui, Yan, Fei-Ya, Quan, Peng-Cheng, Wang, Min, Cao, Wen-Qi, Xu, Heng-Quan, Lu, Jian, He, Wen

“… A stacked denoising autoencoder is utilized to denoise and extract features from a large number of long-period parameter data…”
Získat plný text

Stacked denoising autoencoder‐based feature learning for out‐of‐control source recognition in multivariate manufacturing process Autor Yu, Jianbo, Zheng, Xiaoyun, Wang, Shijin

“… This paper presents an effective and reliable deep learning method known as stacked denoising autoencoder (SDAE…”
Získat plný text

Denoising stacked autoencoders‐based near‐infrared quality monitoring method via robust samples evaluation Autor Lv, Jiapeng, Chen, Zihao, Luan, Xiaoli, Liu, Fei

“…This paper proposes a denoising stacked autoencoders‐based near‐infrared spectroscopy…”
Získat plný text

Deep feature fusion‐based stacked denoising autoencoder for tag recommendation systems Autor Fei, Zhengshun, Wang, Jinglong, Liu, Kangling, Attahi, Eric, Huang, Bingqiang

“…With the rapid development of artificial intelligence technology, commercial robots have gradually entered our daily lives. In order to promote product…”
Získat plný text

Fault diagnosis of rotary machinery components using a stacked denoising autoencoder-based health state identification Autor Lu, Chen, Wang, Zhen-Ya, Qin, Wei-Li, Ma, Jian

“… improvements, and economical efficiency. This paper investigates an effective and reliable deep learning method known as stacked denoising autoencoder (SDA…”
Získat plný text

Automatic Diagnosis of Microgrid Networks’ Power Device Faults Based on Stacked Denoising Autoencoders and Adaptive Affinity Propagation Clustering Autor Fan, Bo, Zhang, Xiaodi, Shu, Xin, Xu, Fan

“…This paper presents a model based on stacked denoising autoencoders (SDAEs) in deep learning and adaptive affinity propagation (adAP…”
Získat plný text

Denoising stacked autoencoders for transient electromagnetic signal denoising Autor Lin, Fanqiang, Chen, Kecheng, Wang, Xuben, Cao, Hui, Chen, Danlei, Chen, Fanzeng

“… of the characteristics of the SFS to denoise the SFS. We introduce the SFSDSA (secondary field signal denoising stacked autoencoders…”
Získat plný text

Short-Term Electricity Price Forecasting With Stacked Denoising Autoencoders Autor Wang, Long, Zhang, Zijun, Chen, Jieqiu

“… A stacked denoising autoencoder (SDA) model, a class of deep neural networks, and its extended version are utilized to forecast the electricity price hourly…”
Získat plný text

A sparse stacked denoising autoencoder with optimized transfer learning applied to the fault diagnosis of rolling bearings Autor Sun, Meidi, Wang, Hui, Liu, Ping, Huang, Shoudao, Fan, Peng

“…•Fault diagnosis by stacked autoencoder requires less professional knowledge.•Domain adaptation by optimized transfer learning reduces the algorithm’s complexity…”
Získat plný text

Anomaly detection and diagnosis for wind turbines using long short-term memory-based stacked denoising autoencoders and XGBoost Autor Zhang, Chen, Hu, Di, Yang, Tao

“… An anomaly detection and diagnosis method for wind turbines using long short-term memory-based stacked denoising autoencoders (LSTM-SDAE…”
Získat plný text

Life prediction of lithium-ion batteries based on stacked denoising autoencoders Autor Xu, Fan, Yang, Fangfang, Fei, Zicheng, Huang, Zhelin, Tsui, Kwok-Leung

“… In this study, a deep learning-based stacked denoising autoencoder (SDAE) method is proposed to directly predict battery life by extracting various battery features…”
Získat plný text

Remote Sensing Image Classification Based on Stacked Denoising Autoencoder Autor Liang, Peng, Shi, Wenzhong, Zhang, Xiaokang

“… is proposed, which is based on Stacked Denoising Autoencoder. First, the deep network model is built through the stacked layers of Denoising Autoencoder…”
Získat plný text

Probabilistic Stacked Denoising Autoencoder for Power System Transient Stability Prediction With Wind Farms Autor Su, Tong, Liu, Youbo, Zhao, Junbo, Liu, Junyong

“…To address the uncertainties of renewable energy and loads in transient stability assessment with credible contingencies, this letter proposes a stacked denoising autoencoder (SDAE…”
Získat plný text

Multimode process monitoring based on hierarchical mode identification and stacked denoising autoencoder Autor Gao, Huihui, Wei, Chen, Huang, Wenjie, Gao, Xuejin

“…•A novel hierarchical mode identification strategy is proposed for multimode process.•An improved density peaks clustering algorithm called LDRSDPC is…”
Získat plný text

Intelligent fault diagnosis approach with unsupervised feature learning by stacked denoising autoencoder Autor Xia, Min, Li, Teng, Liu, Lizhi, Xu, Lin, de Silva, Clarence W

“…) based on stacked denoising autoencoder. Representative features are learned by applying the denoising autoencoder to the unlabelled data in an unsupervised manner…”
Získat plný text

Improved deep reinforcement learning for car-following decision-making Autor Yang, Xiaoxue, Zou, Yajie, Zhang, Hao, Qu, Xiaobo, Chen, Lei

“… This study improves the deep deterministic policy gradient (DDPG) car-following model with stacked denoising autoencoders (SDAE…”
Získat plný text