Výsledky vyhľadávania - "stack autoencoder (SAE)"

Power Load Forecasting System of Iron and Steel Enterprises Based on Deep Kernel–Multiple Kernel Joint Learning.

Autori: Zhang, Yan Wang, Junsheng Sun, Jie a ďalší

Zdroj: Processes; Feb2025, Vol. 13 Issue 2, p584, 9p

Predmety: DEEP learning, AUTOENCODERS, TIME series analysis, FORECASTING, STEEL

A Hybrid Forecasting System Based on Comprehensive Feature Selection and Intelligent Optimization for Stock Price Index Forecasting.

Autori: He, Xuecheng Wang, Jujie

Zdroj: Mathematics (2227-7390); Dec2024, Vol. 12 Issue 23, p3778, 25p

Predmety: STOCK price forecasting, STOCK price indexes, STANDARD deviations, KRIGING, AUTOENCODERS

基于内积矩阵及卷积自编码器的 螺栓松动状态监测. (Chinese)

Alternate Title: BOLT LOOSENING STATE MONITORING BASED ON INNER PRODUCT MATRIX AND CONVOLUTIONAL AUTOENCODER. (English)

Autori: 张敏照 王 乐 田鑫海

Zdroj: Engineering Mechanics / Gongcheng Lixue; 2022, Vol. 39 Issue 12, p222-231, 10p

A Deep-Learning-Based Health Indicator Constructor Using Kullback–Leibler Divergence for Predicting the Remaining Useful Life of Concrete Structures.

Autori: Nguyen, Tuan-Khai Ahmad, Zahoor Kim, Jong-Myon

Zdroj: Sensors (14248220); May2022, Vol. 22 Issue 10, p3687-3687, 14p

Predmety: DETERIORATION of concrete, ACOUSTIC emission, CONCRETE beams, CONCRETE, REMAINING useful life

A Sintering State Recognition Framework to Integrate Prior Knowledge and Hidden Information Considering Class Imbalance.

Autori: Wang, Dingxiang Zhang, Xiaogang Chen, Hua a ďalší

Zdroj: IEEE Transactions on Industrial Electronics; Aug2021, Vol. 68 Issue 8, p7400-7411, 12p

Predmety: PRIOR learning, SINTERING, FEATURE extraction, KERNEL functions

A Current Signal-Based Adaptive Semisupervised Framework for Bearing Faults Diagnosis in Drivetrains.

Autori: Li, Jie Wang, Yu Zi, Yanyang a ďalší

Zdroj: IEEE Transactions on Instrumentation & Measurement; 2021, Vol. 70, p1-12, 12p

Predmety: GENERATIVE adversarial networks, FAULT diagnosis, FEATURE extraction, SELF-organizing maps, GAUSSIAN distribution, GALLIUM nitride

Precise indoor localization using a lightweight 2D-CNN with adaptive temperature guided iterative self-knowledge distillation.

Autori: Rizwan, Muhammad Ng, Yin Hoe Wong, Hin-Yong a ďalší

Zdroj: Scientific Reports; 11/7/2025, Vol. 15 Issue 1, p1-18, 18p

Predmety: INDOOR positioning systems, CONVOLUTIONAL neural networks, WIRELESS communications, KNOWLEDGE transfer, BLUETOOTH technology, WIRELESS geolocation systems

Rolling Bearing Fault Diagnosis Based on Stacked Autoencoder Network with Dynamic Learning Rate.

Autori: Pan, Hong Tang, Wei Xu, Jin-Jun a ďalší

Zdroj: Advances in Materials Science & Engineering; 12/28/2020, p1-12, 12p

Predmety: ROLLER bearings, FAULT diagnosis, SAMPLE size (Statistics), SAMPLING (Process), ELECTRONIC data processing

Short-Term Streamflow Forecasting Using the Feature-Enhanced Regression Model.

Autori: Bai, Yun Bezak, Nejc Sapač, Klaudija a ďalší

Zdroj: Water Resources Management; Nov2019, Vol. 33 Issue 14, p4783-4797, 15p

Predmety: REGRESSION analysis, STREAMFLOW, FORECASTING, SHORT-term memory, DEEP learning, LOAD forecasting (Electric power systems), WATERSHEDS

Geografický termín: SLOVENIA, CHINA

SAE+LSTM: A New Framework for Emotion Recognition From Multi-Channel EEG.

Autori: Xing, Xiaofen Li, Zhenqi Xu, Tianyuan a ďalší

Zdroj: Frontiers in Neurorobotics; 6/12/2019, pN.PAG-N.PAG, 14p

Predmety: BRAIN-computer interfaces, EMOTION recognition, EMOTIONAL conditioning, ELECTROENCEPHALOGRAPHY, SIGNAL classification, RECURRENT neural networks, SHORT-term memory

A new Stack Autoencoder: Neighbouring Sample Envelope Embedded Stack Autoencoder Ensemble Model

Autori: Zhou, Chuanyan Ma, Jie Li, Fan a ďalší

Témy: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, text

URL: http://arxiv.org/abs/2210.14956

Manufacturing Quality Prediction Using Intelligent Learning Approaches: A Comparative Study.

Autori: Bai, Yun Sun, Zhenzhong Deng, Jun a ďalší

Zdroj: Sustainability (2071-1050); Jan2018, Vol. 10 Issue 1, p85, 15p

基于 SAE-ConvLSTM 深度学习模型的 多站城轨短时客流预测.

Alternate Title: Prediction of short-time passenger flow on multi-station urban rail based on SAE-ConvLSTM deep learning model.

Autori: 李 莎 王秋雯 陈彦如 a ďalší

Zdroj: Application Research of Computers / Jisuanji Yingyong Yanjiu. Jul2022, Vol. 39 Issue 7, p2025-2031. 7p.

Predmety: *DEEP learning, *PARTICLE swarm optimization, *STANDARD deviations, *CONVOLUTIONAL neural networks, *SIMULATED annealing, *FEATURE extraction

Combining handcrafted and learned features using deep learning to improve protein-protein interaction prediction performance.

Autori: Hoai Nhan, Tran Quynh, Nguyen Phuc Xuan Anh Phuong, Le

Zdroj: Journal of Information & Telecommunication; Jun2025, Vol. 9 Issue 2, p151-172, 22p

Predmety: PROTEIN-protein interactions, DEEP learning, AMINO acids, MACHINE learning

Deep Feature Learning Architectures for Daily Reservoir Inflow Forecasting.

Autori: Li, Chuan Bai, Yun Zeng, Bo

Zdroj: Water Resources Management; Nov2016, Vol. 30 Issue 14, p5145-5161, 17p

Predmety: RESERVOIRS, BODIES of water, HYDRAULIC structures, ARTIFICIAL neural networks, MATHEMATICAL models

基于堆栈自动编码器的永磁电动机 定子绕组故障诊断. (Chinese)

Alternate Title: Fault diagnosis of permanent magnet motor stator winding based on stacked auto en coder. (English)

Autori: 田广强 冯文成 王福忠

Zdroj: Food & Machinery; 2021, Issue 11, p92-98, 7p

Predmety: FAULT diagnosis, PARTICLE swarm optimization, SIMULATED annealing, PERMANENT magnet generators, STATORS, SPECTRUM analysis, PERMANENT magnet motors

TMC-GCN: Encrypted Traffic Mapping Classification Method Based on Graph Convolutional Networks.

Autori: Liu, Baoquan Chen, Xi Yuan, Qingjun a ďalší

Zdroj: Computers, Materials & Continua; 2025, Vol. 82 Issue 2, p3179-3201, 23p

Predmety: GRAPH neural networks, COMPUTER network traffic, DEEP learning, FLOWGRAPHS, CLASSIFICATION

Improving building extraction from high-resolution aerial images: Error correction and performance enhancement using deep learning on the Inria dataset.

Autori: Ekiz, Serdar Acar, Ugur

Zdroj: Science Progress; Jan-Mar2025, Vol. 108 Issue 1, p1-22, 22p

Power Load Forecasting System of Iron and Steel Enterprises Based on Deep Kernel–Multiple Kernel Joint Learning

Autori: Yan Zhang Junsheng Wang Jie Sun a ďalší

Zdroj: Processes ; Volume 13 ; Issue 2 ; Pages: 584

Predmety: multiple kernel learning, deep learning, data driven, power load forecasting

Geografické téma: agris

Popis súboru: application/pdf

Relation: Process Control and Monitoring; https://dx.doi.org/10.3390/pr13020584

Dostupnosť: https://doi.org/10.3390/pr13020584

Review of rolling bearings performance degradation trend prediction.

Autori: Wang, Yaping Lu, Kaiting Dong, Renquan a ďalší

Zdroj: Noise & Vibration Worldwide; Dec2024, Vol. 55 Issue 11, p585-604, 20p

Predmety: ROLLER bearings, DIGITAL twin, ROTATING machinery, PREDICTION models, NONLINEAR functions, DEEP learning