Aijun Yan

According to our database, Aijun Yan authored at least 24 papers between 2009 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Robust multi-target regression with improved stochastic configuration networks and its applications.

Aijun Yan, Kaicheng Hu, Dianhui Wang, Jian Tang

Inf. Sci., 2025

2024

Modular stochastic configuration network based prediction model for NO<i>x</i> emissions in municipal solid waste incineration process.

Ranran Wang, Fangyu Li, Aijun Yan

Eng. Appl. Artif. Intell., January, 2024

Modular stochastic configuration network prediction interval for furnace temperature in municipal solid waste incineration.

Aijun Yan, Fuhe Wang

Ind. Artif. Intell., 2024

Efficiency optimization methods for stochastic configuration networks.

Aijun Yan, Shixiao He

Ind. Artif. Intell., 2024

A knowledge transfer online stochastic configuration network-based prediction model for furnace temperature in a municipal solid waste incineration process.

Aijun Yan, Ranran Wang, Jingcheng Guo, Jian Tang

Expert Syst. Appl., 2024

2023

A robust transfer deep stochastic configuration network for industrial data modeling.

Jingcheng Guo, Aijun Yan, Jian Tang

Ind. Artif. Intell., 2023

A case weighted similarity deep measurement method based on a self-attention Siamese neural network.

Zijun Cheng, Aijun Yan

Ind. Artif. Intell., 2023

R-SCN based Model Predictive Control for NOx Emissions of MSWI Process.

Ranran Wang, Aijun Yan

Proceedings of the CAA Symposium on Fault Detection, 2023

2022

Heterogeneous feature ensemble modeling with stochastic configuration networks for predicting furnace temperature of a municipal solid waste incineration process.

Aijun Yan, Jingcheng Guo, Dianhui Wang

Neural Comput. Appl., 2022

Robust stochastic configuration networks for industrial data modelling with Student's-t mixture distribution.

Aijun Yan, Jingcheng Guo, Dianhui Wang

Inf. Sci., 2022

2021

Hybrid Selection Method of Feature Variables and Prediction Modeling for Municipal Solid Waste Incinerator Temperature.

Jingcheng Guo, Aijun Yan

Sensors, 2021

Fault Detection in the MSW Incineration Process Using Stochastic Configuration Networks and Case-Based Reasoning.

Chenxi Ding, Aijun Yan

Sensors, 2021

2017

Case-based reasoning classifier based on learning pseudo metric retrieval.

Aijun Yan, Hang Yu, Dianhui Wang

Expert Syst. Appl., 2017

An attribute difference revision method in case-based reasoning and its application.

Aijun Yan, Kuanhong Zhang, Yuanhang Yu, Pu Wang

Eng. Appl. Artif. Intell., 2017

Designing a multiple state repetitive group sampling plan based on the coefficient of variation.

Aijun Yan, Sanyang Liu, Muhammad Azam

Commun. Stat. Simul. Comput., 2017

Selective Ensemble Random Neural Networks Based on Adaptive Selection Scope of Input Weights and Biases for Building Soft Measuring Model.

Jian Tang, Junfei Qiao, Zhiwei Wu, Jian Zhang, Aijun Yan

Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016

Case-Based Reasoning Model with Genetic Algorithms, Group Decision-Making and Template Reduction.

Aijun Yan, Hairuo Song, Pu Wang

Int. J. Artif. Intell. Tools, 2016

2015

A soft-sensing method of dissolved oxygen concentration by group genetic case-based reasoning with integrating group decision making.

Aijun Yan, Hongshan Shao, Pu Wang

Neurocomputing, 2015

Trustworthiness evaluation and retrieval-based revision method for case-based reasoning classifiers.

Aijun Yan, Dianhui Wang

Expert Syst. Appl., 2015

2014

A fault prediction method that uses improved case-based reasoning to continuously predict the status of a shaft furnace.

Aijun Yan, Weixian Wang, Chunxiao Zhang, Hui Zhao

Inf. Sci., 2014

Weight optimization for case-based reasoning using membrane computing.

Aijun Yan, Hongshan Shao, Zhen Guo

Inf. Sci., 2014

Memory and forgetting: An improved dynamic maintenance method for case-based reasoning.

Aijun Yan, Limin Qian, Chunxiao Zhang

Inf. Sci., 2014

2011

Group decision-making retrieval based multi-objective evaluation optimizing setting method.

Chun-Xiao Zhang, Aijun Yan, Xu Zhe, Pu Wang

Proceedings of the 9th IEEE International Conference on Control and Automation, 2011

2009

Comparison Studies of LS_SVM and SVM on Modeling for Fermentation Processes.

Xuejin Gao, Pu Wang, Yongsheng Qi, Aijun Yan, Huiqing Zhang, Yanjie Gong

Proceedings of the Fifth International Conference on Natural Computation, 2009