Výsledky vyhledávání - stacked autoencoder SAE

Detection of sea‐surface target of coastal defense radar based on Stacked Autoencoder (SAE) algorithm Autor Yan, He, Chen, Chao, Jin, Guodong, Zhang, Jindong, Zhang, Gong, Zhu, Daiyin

“… In this study, a novel algorithm for sea‐surface target detection based on a stacked autoencoder (SAE…”
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Classification of autistic subjects employing modified volume local binary pattern (MVLBP) and stacked Autoencoder (SAE) on functional magnetic resonance imaging (fMRI) Autor M., Kaviya Elakkiya, Dejey

“…Autism Spectrum Disorder (ASD) or Autism is a developmental disorder that impairs the ability to communicate and interact. Screening of autism is strenuous…”
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Stacked Fisher autoencoder for SAR change detection Autor Liu, Ganchao, Li, Lingling, Jiao, Licheng, Dong, Yongsheng, Li, Xuelong

“…•The features extracted by SFAE are more discriminative than the original stacked autoencoder due to that Fisher discriminant criterion is incorporated into SFAE…”
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Fusing stacked autoencoder and long short-term memory for regional multistep-ahead flood inundation forecasts Autor Kao, I-Feng, Liou, Jia-Yi, Lee, Meng-Hsin, Chang, Fi-John

“…•Use Stacked Autoencoder (SAE) to reduce the dimension of regional inundation data…”
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High-Voltage Circuit Breaker Fault Diagnosis Using a Hybrid Feature Transformation Approach Based on Random Forest and Stacked Autoencoder Autor Ma, Suliang, Chen, Mingxuan, Wu, Jianwen, Wang, Yuhao, Jia, Bowen, Jiang, Yuan

“…In recent years, machine learning techniques have been applied to test the fault type in high-voltage circuit breakers (HVCBs). Most related research involves…”
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Gated Stacked Target-Related Autoencoder: A Novel Deep Feature Extraction and Layerwise Ensemble Method for Industrial Soft Sensor Application Autor Sun, Qingqiang, Ge, Zhiqiang

“… In this work, deep stacked autoencoder (SAE) is introduced to construct a soft sensor model. Nevertheless, conventional SAE-based methods do not take information related…”
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A Novel Double-Stacked Autoencoder for Power Transformers DGA Signals With An Imbalanced Data Structure Autor Yang, Dongsheng, Qin, Jia, Pang, Yongheng, Huang, Tingwen

“… To fill this research gap, in this article, a novel double-stacked autoencoder (DSAE) is proposed for a fast and accurate judgment of power transformer health conditions with an imbalanced data structure…”
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Nonlinear VW-SAE Based Deep Learning for Quality-Related Feature Learning and Soft Sensor Modeling Autor Yuan, Xiaofeng, Ou, Chen, Wang, Yalin, Yang, Chunhua

“… To handle this problem, a nonlinear variable-wise weighted stacked autoencoder (NVW-SAE) is proposed to learn deep quality-related features in this paper…”
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Stacked maximal quality-driven autoencoder: Deep feature representation for soft analyzer and its application on industrial processes Autor Chen, Junming, Fan, Shaosheng, Yang, Chunhua, Zhou, Can, Zhu, Hongqiu, Li, Yonggang

“… In this paper, a stacked maximal quality-driven autoencoder (SMQAE) is proposed to extract maximal quality-relevant features for soft analyzers…”
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A novel semi-supervised pre-training strategy for deep networks and its application for quality variable prediction in industrial processes Autor Yuan, Xiaofeng, Ou, Chen, Wang, Yalin, Yang, Chunhua, Gui, Weihua

“…•A semi-supervised autoencoder (SS-AE) is first developed as the basic network to extract quality-related features…”
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Deep quality-related feature extraction for soft sensing modeling: A deep learning approach with hybrid VW-SAE Autor Yuan, Xiaofeng, Ou, Chen, Wang, Yalin, Yang, Chunhua, Gui, Weihua

“… In this paper, a hybrid variable-wise weighted stacked autoencoder (HVW-SAE) is developed to learn quality-related features for soft sensor modeling…”
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Processes soft modeling based on stacked autoencoders and wavelet extreme learning machine for aluminum plant-wide application Autor Lei, Yongxiang, Karimi, Hamid Reza, Cen, Lihui, Chen, Xiaofang, Xie, Yongfang

“… First, a stacked autoencoder (SAE) is used to extract the deep features. Then, a top-layer extreme learning machine (ELM…”
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Deep Learning-Based Feature Representation and Its Application for Soft Sensor Modeling With Variable-Wise Weighted SAE Autor Yuan, Xiaofeng, Huang, Biao, Wang, Yalin, Yang, Chunhua, Gui, Weihua

“… Hence, deep stacked autoencoder (SAE) is introduced for soft sensor in this paper. As for output prediction purpose, traditional deep learning algorithms cannot extract high-level output-related features…”
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Rock mass quality classification based on deep learning: A feasibility study for stacked autoencoders Autor Sheng, Danjie, Yu, Jin, Tan, Fei, Tong, Defu, Yan, Tianjun, Lv, Jiahe

“… To develop a tool that can deliver quick and accurate evaluation of rock mass quality, a deep learning approach is developed, which uses stacked autoencoders (SAEs…”
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Adaptive cascade enhancement broad learning system combined with stacked correlation information autoencoder for soft sensor modeling of industrial process Autor Ni, Mingming, Li, Shaojun

“…•A new feature extraction method which introduces the correlation coefficient and the dominant variable into the stacked autoencoder has been developed…”
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Semisupervised Stacked Autoencoder With Cotraining for Hyperspectral Image Classification Autor Zhou, Shaoguang, Xue, Zhaohui, Du, Peijun

“… In this paper, we present a novel DL framework, namely, semisupervised stacked autoencoders (Semi-SAEs) with cotraining, for HSI classification…”
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KDSAE: Chronic kidney disease classification with multimedia data learning using deep stacked autoencoder network Autor Khamparia, Aditya, Saini, Gurinder, Pandey, Babita, Tiwari, Shrasti, Gupta, Deepak, Khanna, Ashish

“… This research paper offers a novel deep learning framework for chronic kidney disease classification using stacked autoencoder model utilizing multimedia data with a softmax…”
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Novel segmented stacked autoencoder for effective dimensionality reduction and feature extraction in hyperspectral imaging Autor Zabalza, Jaime, Ren, Jinchang, Zheng, Jiangbin, Zhao, Huimin, Qing, Chunmei, Yang, Zhijing, Du, Peijun, Marshall, Stephen

“…Stacked autoencoders (SAEs), as part of the deep learning (DL) framework, have been recently proposed for feature extraction in hyperspectral remote sensing…”
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Building feature space of extreme learning machine with sparse denoising stacked-autoencoder Autor Cao, Le-le, Huang, Wen-bing, Sun, Fu-chun

“… Deep learning algorithms such as stacked autoencoder (SAE) and deep belief network (DBN) are built on learning several levels of representation of the input…”
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Stacked Dual-Guided Autoencoder: A Scalable Deep Latent Variable Model for Semi-Supervised Industrial Soft Sensing Autor Yang, Zeyu, Hu, Tingting, Yao, Le, Ye, Lingjian, Qiu, Yi, Du, Shuxin

“…Stacked autoencoders (SAEs) have been widely used in soft sensing of industrial process data…”
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