Fuzzy inference-based LSTM for long-term time series prediction
Fuzzy inference-based LSTM for long-term time series prediction
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London: Nature Publishing Group UK
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English
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Publisher
London: Nature Publishing Group UK
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Long short-term memory (LSTM) based time series forecasting methods suffer from multiple limitations, such as accumulated error, diminishing temporal correlation, and lacking interpretability, which compromises the prediction performance. To overcome these shortcomings, a fuzzy inference-based LSTM with the embedding of a fuzzy system is proposed t...
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Fuzzy inference-based LSTM for long-term time series prediction
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TN_cdi_doaj_primary_oai_doaj_org_article_6f3564f1a2e14d7d8bafdd7d1b19da9e
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6f3564f1a2e14d7d8bafdd7d1b19da9e
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-023-47812-3
