相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Deep graph feature learning-based diagnosis approach for rotating machinery using multi-sensor data
Kaibo Zhou et al.
JOURNAL OF INTELLIGENT MANUFACTURING (2023)
Grinding effect of sodium silicate on muscovite and its mechanism analysis
Chenyu Fan et al.
MINERALS ENGINEERING (2023)
Image-based thickener mud layer height prediction with attention mechanism-based CNN
Chenyu Fang et al.
ISA TRANSACTIONS (2022)
Siamese Time Series and Difference Networks for Performance Monitoring in the Froth Flotation Process
Hu Zhang et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2022)
An HGA-LSTM-Based Intelligent Model for Ore Pulp Density in the Hydrometallurgical Process
Guobin Zou et al.
MATERIALS (2022)
LSTM-based soft sensor design for oxygen content of flue gas in coal-fired power plant
Hongguang Pan et al.
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL (2021)
Surface crack detection using deep learning with shallow CNN architecture for enhanced computation
Bubryur Kim et al.
NEURAL COMPUTING & APPLICATIONS (2021)
Feature Reconstruction-Regression Network: A Light-Weight Deep Neural Network for Performance Monitoring in the Froth Flotation
Hu Zhang et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2021)
A Review on Soft Sensors for Monitoring, Control, and Optimization of Industrial Processes
Yuchen Jiang et al.
IEEE SENSORS JOURNAL (2021)
A Novel and Reliable Framework of Patient Deterioration Prediction in Intensive Care Unit Based on Long Short-Term Memory-Recurrent Neural Network
Tariq I. Alshwaheen et al.
IEEE ACCESS (2021)
Temperature prediction for roller kiln based on hybrid first-principle model and data-driven MW-DLWKPCR model
Jiayang Dai et al.
ISA TRANSACTIONS (2020)
Online Fault Diagnosis Method Based on Transfer Convolutional Neural Networks
Gaowei Xu et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2020)
Deep Dual-Channel Neural Network for Image-Based Smoke Detection
Ke Gu et al.
IEEE TRANSACTIONS ON MULTIMEDIA (2020)
Bayesian Network-Based Modeling and Operational Adjustment of Plantwide Flotation Industrial Process
Hao Yan et al.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH (2020)
Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network
Alex Sherstinsky
PHYSICA D-NONLINEAR PHENOMENA (2020)
Timed key-value memory network for flotation reagent control
Jin Zhang et al.
CONTROL ENGINEERING PRACTICE (2020)
Convolutional Recurrent Neural Networks for Glucose Prediction
Kezhi Li et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2020)
A hybrid feature selection method for production condition recognition in froth flotation with noisy labels
Xiaojun Zhou et al.
MINERALS ENGINEERING (2020)
Multi-View Deep Network: A Deep Model Based on Learning Features From Heterogeneous Neural Networks for Sentiment Analysis
Hossein Sadr et al.
IEEE ACCESS (2020)
SRGC-Nets: Sparse Repeated Group Convolutional Neural Networks
Yao Lu et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2020)
Artificial Intelligence Image Recognition Method Based on Convolutional Neural Network Algorithm
Youhui Tian
IEEE ACCESS (2020)
Semi-Supervised Generative Adversarial Nets with Multiple Generators for SAR Image Recognition
Fei Gao et al.
SENSORS (2018)
Deep Recurrent Neural Networks for Hyperspectral Image Classification
Lichao Mou et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2017)
Data-driven Soft Sensors in the process industry
Petr Kadlec et al.
COMPUTERS & CHEMICAL ENGINEERING (2009)
A hybrid GA-SQP optimization technique for determination of kinetic parameters of hydrogenation reactions
Behrang Mansoornejad et al.
COMPUTERS & CHEMICAL ENGINEERING (2008)
Reducing the dimensionality of data with neural networks
G. E. Hinton et al.
SCIENCE (2006)
分享论文
