Jian Tang

发表

Deep forest regression based on cross-layer full connection

Jian Tang, Junfei Qiao, Wen Yu, 2021, Neural Computing and Applications.

Mill Load Parameter Forecasting Based on Multi-source Single-scale Mechanical Frequency Spectral Multiple feature Subsets

Jian Tang, Junfei Qiao, J. J. Zhao, 2018 .

ENSEMBLE MODELING OF MILL LOAD BASED ON EMPIRICAL MODE DECOMPOSITION AND PARTIAL LEAST SQUARES

Jian Tang, LIJIE ZHAO, Lijie Zhao, 2012 .

Modeling of operating parameters for wet ball mill by modified GA-KPLS

Tianyou Chai, Jian Tang, Heng Yue, 2010, Third International Workshop on Advanced Computational Intelligence.

Multi-Kernel Partial Least Squares Regression based on Adaptive Genetic Algorithm

Shao-Wei Liu, Jian Tang, Dong Yan, 2015 .

Multi-Kernel Partial Least Squares Regression Modeling based on Adaptive Genetic Algorithm *

Jian Tang, 2013 .

Spectral Data Modeling Based on Feature Extraction and Extreme Support Vector Regression

Jian Tang, Dong Yan, S. Liu, 2011 .

Experimental analysis of wet mill load parameter based on multiple channel mechanical signals under multiple grinding conditions

Gaowei Yan, Jian Tang, Zhuo Liu, 2020 .

Heterogeneous selective ensemble learning model for mill load parameters forecasting by using multiscale mechanical frequency spectrum

T. Chai, Wen Yu, Jian Tang, 2022, Soft Computing.

Predicting mill load using partial least squares and extreme learning machines

T. Chai, Dianhui Wang, Jian Tang, 2012, Soft Computing.

Feature Selection Approach based on Mutual Information and Partial Least Squares

Jian Tang, Qiang Shi, Li Jie Zhao, 2014 .

Comparison of Several Extreme Learning Machine Algorithm for Modeling Concrete Compressive Strength

Dong Yan, Jian Tang, Li Jie Zhao, 2014 .

Dual-layer optimized selective information fusion using multi-source multi-component mechanical signals for mill load parameters forecasting

Junfei Qiao, Gang Yu, Jian Tang, 2020 .

Optimized ensemble modeling based on feature selection using simple sphere criterion for multi-scale mechanical frequency spectrum

Jian Tang, Junfei Qiao, Zhuo Liu, 2018, Soft Comput..

Mechanism characteristic analysis and soft measuring method review for ball mill load based on mechanical vibration and acoustic signals in the grinding process

Junfei Qiao, Jian Tang, Zhuo Liu, 2018, Minerals Engineering.

Optimized ensemble modeling based on feature selection using simple sphere criterion for multi-scale mechanical frequency spectrum

J. Qiao, Jianjun Zhao, Jian Tang, 2018, Soft Computing - A Fusion of Foundations, Methodologies and Applications.

Vibration and acoustic frequency spectra for industrial process modeling using selective fusion multi-condition samples and multi-source features

Jian Tang, Tianyou Chai, Jian Tang, 2018 .

A Comparative Study That Measures Ball Mill Load Parameters Through Different Single-Scale and Multiscale Frequency Spectra-Based Approaches

Tianyou Chai, Wen Yu, Jian Tang, 2016, IEEE Transactions on Industrial Informatics.

Kernel latent features adaptive extraction and selection method for multi-component non-stationary signal of industrial mechanical device

Tianyou Chai, Jian Zhang, Wen Yu, 2016, Neurocomputing.

Selective ensemble modeling load parameters of ball mill based on multi-scale frequency spectral features and sphere criterion

Wen Yu, Jian Tang, Zhuo Liu, 2016 .

Modeling Load Parameters of Ball Mill in Grinding Process Based on Selective Ensemble Multisensor Information

Tianyou Chai, Wen Yu, Jian Tang, 2013, IEEE Transactions on Automation Science and Engineering.

Feature extraction and selection based on vibration spectrum with application to estimating the load parameters of ball mill in grinding process

Jian Tang, Tianyou Chai, Lijie Zhao, 2012 .

Soft sensor for parameters of mill load based on multi-spectral segments PLS sub-models and on-line adaptive weighted fusion algorithm

Tianyou Chai, Wen Yu, Jian Tang, 2012, Neurocomputing.

Vibration Analysis Based on Empirical Mode Decomposition and Partial Least Square

Jian Tang, Tianyou Chai, Lijie Zhao, 2011 .

Experimental analysis of wet mill load based on vibration signals of laboratory-scale ball mill shell

Jian Tang, Tianyou Chai, Lijie Zhao, 2010 .

Soft Sensor method of mill load for grinding process based on GA-PLS from spectral data using feature selection

Jian Tang, Heng Yue, Li-Jie Zhao, 2010, Proceedings of the 29th Chinese Control Conference.

Selective ensemble kernel partial least squares method based on dual layer genetic algorithm optimization with its application

Tianyou Chai, Jian Tang, Wen Yu, 2016, 2016 12th World Congress on Intelligent Control and Automation (WCICA).

Modeling parameters of mill load based on dual layer selective ensemble learning strategy

Tianyou Chai, Jian Tang, Wen Yu, 2014, Proceeding of the 11th World Congress on Intelligent Control and Automation.

Adaptive ensemble modelling approach based on updating sample intelligent identification

Wen Yu Liu, Jian Tang, Tian You Chai, 2016 .

Selective ensemble modeling based on nonlinear frequency spectral feature extraction for predicting load parameter in ball mills

Jian Tang, Tianyou Chai, Zhuo Liu, 2015 .

Predicting mill load using partial least squares and extreme learning machines

Tianyou Chai, Dianhui Wang, Jian Tang, 2012, Soft Comput..

On-line principal component analysis with application to process modeling

Tianyou Chai, Wen Yu, Jian Tang, 2012, Neurocomputing.