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IEEE Transactions on Neural Networks and Learning Systems|March 3, 2025
Adaptive Weighted Broad Echo State Learning System-Based Dynamic Modeling of Carbon Consumption in Sintering ProcessJie Hu, Min Wu, Witold PedryczIEEE Transactions on Cybernetics|December 9, 2020
Weighted Kernel Fuzzy C-Means-Based Broad Learning Model for Time-Series Prediction of Carbon Efficiency in Iron Ore Sintering ProcessJie Hu, Min Wu, Luefeng Chen, et al.IEEE Transactions on Cybernetics|April 15, 2022
Computing and Clustering in the Environment of Order-2 Information GranulesWitold PedryczIEEE Transactions on Cybernetics|March 3, 2025
Granular Computing for Machine Learning: Pursuing New Development HorizonsWitold PedryczIEEE Transactions on Neural Networks|November 30, 2004
Heterogeneous fuzzy logic networks: fundamentals and development studiesWitold PedryczIEEE Transactions on Neural Networks and Learning Systems|April 6, 2023
Coupled Multimodal Emotional Feature Analysis Based on Broad-Deep Fusion Networks in Human-Robot InteractionLuefeng Chen, Min Li, Min Wu, et al.IEEE Transactions on Cybernetics|April 28, 2021
Operating Performance Improvement Based on Prediction and Grade Assessment for Sintering ProcessSheng Du, Min Wu, Luefeng Chen, et al.IEEE Transactions on Neural Networks and Learning Systems|May 9, 2014
Granular neural networks: concepts and development schemesMingli Song, Witold PedryczIEEE Transactions on Bio-Medical Engineering|October 6, 2006
A granular description of ECG signalsAdam Gacek, Witold PedryczPageof 778