Comparison Studies of LS_SVM and SVM on Modeling for Fermentation Processes. - Xuejin Gao; Pu Wang; Yongsheng Qi; Aijun Yan; Huiqing Zhang; Yanjie Gong (ICNC (1), 2009)

Group decision-making retrieval based multi-objective evaluation optimizing setting method. - Chun-Xiao Zhang; Aijun Yan; Xu Zhe; Pu Wang (ICCA, 2011)

Memory and forgetting: An improved dynamic maintenance method for case-based reasoning. - Aijun Yan; Limin Qian; Chunxiao Zhang (Inf. Sci., 2014)

Weight optimization for case-based reasoning using membrane computing. - Aijun Yan; Hongshan Shao; Zhen Guo (Inf. Sci., 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)

Trustworthiness evaluation and retrieval-based revision method for case-based reasoning classifiers. - Aijun Yan; Dianhui Wang (Expert Syst. Appl., 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)

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)

Selective Ensemble Random Neural Networks Based on Adaptive Selection Scope of Input Weights and Biases for Building Soft Measuring Model. - Jian Tang 003; Junfei Qiao 001; Zhiwei Wu; Jian Zhang 054; Aijun Yan (ICONIP (1), 2017)

Designing a multiple state repetitive group sampling plan based on the coefficient of variation. - Aijun Yan; Sanyang Liu; Muhammad Azam 001 (Commun. Stat. Simul. Comput., 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)

Case-based reasoning classifier based on learning pseudo metric retrieval. - Aijun Yan; Hang Yu; Dianhui Wang (Expert Syst. Appl., 2017)

Fault Detection in the MSW Incineration Process Using Stochastic Configuration Networks and Case-Based Reasoning. - Chenxi Ding; Aijun Yan (Sensors, 2021)

Hybrid Selection Method of Feature Variables and Prediction Modeling for Municipal Solid Waste Incinerator Temperature. - Jingcheng Guo; Aijun Yan (Sensors, 2021)

Robust stochastic configuration networks for industrial data modelling with Student's-t mixture distribution. - Aijun Yan; Jingcheng Guo; Dianhui Wang (Inf. Sci., 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)

R-SCN based Model Predictive Control for NOx Emissions of MSWI Process. - Ranran Wang; Aijun Yan (SAFEPROCESS, 2023)

A case weighted similarity deep measurement method based on a self-attention Siamese neural network. - Zijun Cheng; Aijun Yan (Ind. Artif. Intell., 2023)

A robust transfer deep stochastic configuration network for industrial data modeling. - Jingcheng Guo; Aijun Yan; Jian Tang (Ind. Artif. Intell., 2023)

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)

Efficiency optimization methods for stochastic configuration networks. - Aijun Yan; Shixiao He (Ind. Artif. Intell., 2024)

Modular stochastic configuration network prediction interval for furnace temperature in municipal solid waste incineration. - Aijun Yan; Fuhe Wang (Ind. Artif. Intell., 2024)

Modular stochastic configuration network based prediction model for NOx emissions in municipal solid waste incineration process. - Ranran Wang; Fangyu Li; Aijun Yan (Eng. Appl. Artif. Intell., 2024)

A Recurrent Stochastic Configuration Network for Dynamic System Modeling and Its Application. - Aijun Yan; Jingcheng Guo (Int. J. Artif. Intell. Tools, 2024)

Data-Driven Multitarget Online Modeling of the Municipal Solid Waste Incineration Process. - Aijun Yan; Kaicheng Hu (IEEE Trans. Ind. Informatics, 2024)

Case difference heuristic adaptation method based on deep reinforcement learning. - Aijun Yan; Zijun Cheng (Expert Syst. Appl., 2025)

Robust stochastic configuration network based perception model for furnace temperature in municipal solid waste incineration process. - Jingcheng Guo; Zhe Dong; Wei Guo; Aijun Yan (Inf. Sci., 2025)

Robust multi-target regression with improved stochastic configuration networks and its applications. - Aijun Yan; Kaicheng Hu; Dianhui Wang; Jian Tang 003 (Inf. Sci., 2025)

Stochastic configuration network modeling method based on information superposition and mixture correntropy. - Aijun Yan; Kaicheng Hu; Dianhui Wang (Int. J. Mach. Learn. Cybern., 2025)

A Multitarget Online Fuzzy Stochastic Configuration Network for Industry Data Modeling. - Jingcheng Guo; Anqi Wang; Meng Zhou 006; Aijun Yan; Wei Guo (IEEE Trans. Fuzzy Syst., 2025)