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Fuzzy jump wavelet neural network based on rule induction for dynamic nonlinear system identification with real data applications
AIM: Fuzzy wavelet neural network (FWNN) has proven to be a promising strategy in the identification of nonlinear systems. The network considers both global and local properties, deals with imprecision present in sensory data, leading to desired precisions. In this paper, we proposed a new FWNN mode...
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| 發表在: | PLoS One |
|---|---|
| Main Authors: | , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
Public Library of Science
2019
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6901348/ https://ncbi.nlm.nih.gov/pubmed/31816627 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0224075 |
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