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Multi-reservoir computing with ordered aggregation for time series analysis
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AI
DOI：10.1016/j.knosys.2025.115048.png)
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Abstract
En 中文
• Introduces Multi-Reservoir Computing with Ordered Aggregation. • Multi-reservoir architecture provides viable solution for time series forecasting. • Enhancing the adaptability of the model by adjusting the time horizon. • The model exhibits impressive predictive performance when applied to real-world data.
Journal
K
IF:
7.6
Papers:
1.2W
Citations:
4.5W
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NEUROCOMPUTING
OAAI
NEUROCOMPUTINGIF6.5
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