Two Novel Noise-Suppression Projection Neural Networks With Fixed-Time Convergence for Variational Inequalities and Applications

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Yang, Xinsong ORCID: 0000-0003-3599-5020, Ju, Xingxing, Shi, Peng ORCID: 0000-0001-8218-586X and Wen, Guanghui ORCID: 0000-0003-0070-8597 (2023) Two Novel Noise-Suppression Projection Neural Networks With Fixed-Time Convergence for Variational Inequalities and Applications. IEEE Transactions on Neural Networks and Learning Systems. ISSN 2162-237X

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Item type Article
URI https://vuir.vu.edu.au/id/eprint/47589
DOI 10.1109/TNNLS.2023.3321761
Official URL https://ieeexplore.ieee.org/document/10278232
Subjects Current > FOR (2020) Classification > 4008 Electrical engineering
Current > Division/Research > Institute for Sustainable Industries and Liveable Cities
Keywords projection neural networks; PNNs; fixed-time convergence; fixed; FIXt convergence; variational inequality problems; VIPs
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