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T-S Fuzzy Model Identification Based on a Novel Hyperplane-Shaped Membership Function.

, , , , and . IEEE Trans. Fuzzy Syst., 25 (5): 1364-1370 (2017)

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T-S Fuzzy Model Identification Based on a Novel Hyperplane-Shaped Membership Function., , , , and . IEEE Trans. Fuzzy Syst., 25 (5): 1364-1370 (2017)T-S fuzzy model identification based on a novel fuzzy c-regression model clustering algorithm., , , , and . Eng. Appl. Artif. Intell., 22 (4-5): 646-653 (2009)T-S Fuzzy Model Identification With a Gravitational Search-Based Hyperplane Clustering Algorithm., , , , and . IEEE Trans. Fuzzy Syst., 20 (2): 305-317 (2012)Deep Learning Method Based on Gated Recurrent Unit and Variational Mode Decomposition for Short-Term Wind Power Interval Prediction., , , and . IEEE Trans. Neural Networks Learn. Syst., 31 (10): 3814-3827 (2020)Remaining Useful Life Estimation Combining Two-Step Maximal Information Coefficient and Temporal Convolutional Network With Attention Mechanism., , , , and . IEEE Access, (2021)A Hybrid Deep Interval Prediction Model for Wind Speed Forecasting., , , , , and . IEEE Access, (2021)A Novel Efficient DLUBE Model Constructed by Error Interval Coefficients for Clustered Wind Power Prediction., , , , , , , , and . IEEE Access, (2021)A Hybrid Algorithm Based on Artificial Sheep Algorithm and Particle Swarm Optimization., , , and . ISCID (2), page 262-265. IEEE, (2018)A Disassembly Sequence Planning Method With Team-Based Genetic Algorithm for Equipment Maintenance in Hydropower Station., , , , , and . IEEE Access, (2020)Fault diagnosis based on pulse coupled neural network and probability neural network., , , , and . Expert Syst. Appl., 38 (11): 14307-14313 (2011)