Granular neural networks learning for time series prediction under a federated scenario
Author:
Funder
the National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s41066-024-00490-6.pdf
Reference31 articles.
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3. Chen SM, Zou XY, Gunawan GC (2019) Fuzzy time series forecasting based on proportions of intervals and particle swarm optimization techniques. Inf Sci 500:127–139
4. Dogra A, Anand A, Bedi J (2023) Consumers profiling based federated learning approach for energy load forecasting. Sustain Cities Soc 98:104815
5. Ghiasi B, Noori R, Sheikhian H, Zeynolabedin A, Sun Y, Jun C, Hamouda M, Bateni SM, Abolfathi S (2022) Uncertainty quantification of granular computing-neural network model for prediction of pollutant longitudinal dispersion coefficient in aquatic streams. Sci Rep 12:4610
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