Hong-guang Li

发表

Process Goose Queue (PGQ) Approaches toward Plantwide Process Optimization with Applications in Supervision-Driven Real-Time Optimization

Hong-guang Li, Jingwen Huang, 2012 .

Industrial time-series modeling via adapted receptive field temporal convolution networks integrating regularly updated multi-region operations based on PCA

Yongjian Wang, Hongguang Li, Ke Yang, 2020 .

A Composite Model Predictive Control Strategy for Furnaces

Jia Wang, Hongguang Li, Jingwen Huang, 2014 .

A novel approach for FNLP with piecewise linear membership functions

Hongguang Li, Bo Yang, Wen Gu, 2019, Chemometrics and Intelligent Laboratory Systems.

A PLMF-Based Decomposition–Coordination Algorithm for Fuzzy Linear Programming in Industrial Applications

Hong-guang Li, Bo Wen, 2014 .

Operational trend prediction and classification for chemical processes: A novel convolutional neural network method based on symbolic hierarchical clustering

Panagiotis D. Christofides, Yongjian Wang, Hongguang Li, 2020 .

An adaptive mode convolutional neural network based on bar-shaped structures and its operation modeling to complex industrial processes

Yongjian Wang, Hongguang Li, Chu Qi, 2020 .

On-line Batch Process Monitoring with Improved Multi-way Independent Component Analysis

Hui Guo, Hongguang Li, Hong-guang Li, 2013 .

Industrial process time-series modeling based on adapted receptive field temporal convolution networks concerning multi-region operations

Yongjian Wang, Hongguang Li, Hong-guang Li, 2020, Comput. Chem. Eng..

DTDR-ALSTM: Extracting dynamic time-delays to reconstruct multivariate data for improving attention-based LSTM industrial time series prediction models

Yongjian Wang, Hongguang Li, Bo Yang, 2021, Knowl. Based Syst..

An Improved Bar-Shaped Sliding Window CNN Tailored to Industrial Process Historical Data with Applications in Chemical Operational Optimizations

Yongjian Wang, Hongguang Li, Jingwen Huang, 2019, Industrial & Engineering Chemistry Research.

A novel intelligent modeling framework integrating convolutional neural network with an adaptive time-series window and its application to industrial process operational optimization

Yongjian Wang, Hongguang Li, Hong-guang Li, 2018, Chemometrics and Intelligent Laboratory Systems.

A multilayer affective computing model with evolutionary strategies reflecting decision-makers’ preferences in process control

Hong-guang Li, Tao Tu, Chong Su, 2021, ISA Transactions.

Jia Wang, Hongguang Li, Jinwen Huang, 2015 .

A novel dynamic timed fuzzy Petri nets modeling method with applications to industrial processes

Bo Yang, Hongguang Li, Hong-guang Li, 2018, Expert Syst. Appl..

Generating Methods for Group Affective Preferences with Engineering Applications

Hongguang Li, Chong Su, Xianyu Bao, 2015 .

An affective learning agent with Petri-net-based implementation

Hong-guang Li, Chong Su, 2012, Applied Intelligence.

An Approach to Interactive Affective Learning Algorithms

Hongguang Li, Chong Su, Hong-guang Li, 2012, J. Comput..

Affective Preferences Mining Approach with Applications in Process Control

Danyang Zhang, Hongguang Li, Chong Su, 2020, Journal of Shanghai Jiaotong University (Science).

Affective Preferences Mining Approach with Applications in Process Control

Hong-guang Li, Dan-Dan Zhang, Chong Su, 2020, Journal of Shanghai Jiaotong University (Science).

Generating Methods for Group Affective Preferences with Engineering Applications

Hong-guang Li, Jingwen Huang, Xianyu Bao, 2015, Arabian Journal for Science and Engineering.

A novel interactive preferential evolutionary method for controller tuning in chemical processes

Hongguang Li, Chong Su, Hong-guang Li, 2015 .

An affective learning agent with Petri-net-based implementation

Hongguang Li, Chong Su, Hong-guang Li, 2012, Applied Intelligence.

Approaches to deep learning based manipulating strategy reconstructions for complex chemical processes

Hong-guang Li, Bo Yang, Xiaojie Tang, 2021, Journal of Process Control.

AGENT-BASED EVOLUTIONARY ALGORITHMS APPLIED TO CONSTRAINED MULTI-OBJECTIVE OPTIMIZATION PROBLEMS

Hui Ding, Hongguang Li, Hong-guang Li, 2012, Appl. Artif. Intell..

MP-CRJ: Multi-parallel cycle reservoirs with jumps for industrial multivariate time series predictions

Hong-guang Li, Jince Li, Wenjing Zhao, 2022, Trans. Inst. Meas. Control.

An Adaptive Optimization Approach Based on the Human factors and Its Application to Process Alarm Thresholds

Bo Yang, Hongguang Li, Yongjian Wang, 2019, 2019 12th Asian Control Conference (ASCC).

A GRU Network-Based Approach for Steam Drum Water Level Predictions

Hong-guang Li, Yan Ma, 2020 .

Bo Yang, Hongguang Li, Hong-guang Li, 2017 .

Hybrid cycle reservoir with jumps for multivariate time series prediction: industrial application in oil drilling process

Hongguang Li, Yongjian Wang, Chu Qi, 2019, Measurement Science and Technology.

Adaptive time window convolutional neural networks concerning multiple operation modes with applications in energy efficiency predictions

Hong-guang Li, Yongjian Wang, Chu Qi, 2021, Energy.

Modeling of furnace operation with a new adaptive data echo state network method integrating block recursive partial least squares

Yongjian Wang, Hongguang Li, Bo Yang, 2020 .

Furnace thermal efficiency modeling using an improved convolution neural network based on parameter-adaptive mnemonic enhancement optimization

Hongguang Li, Chong Su, Jingwen Huang, 2019, Applied Thermal Engineering.

Association rules mining based analysis of consequential alarm sequences in chemical processes

Hongguang Li, Jia Wang, Chong Su, 2016 .