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Abstract. Gated Recurrent Units (GRU) are neural network gated architectures that simplify other ones (such as, LSTM) by joining gates mainly.
Humberto Bustince Zdenko Takác Regivan H. N. Santiago Graçaliz Pereira Dimuro Javier Fernández 0002. Fuzzy sets complement-based Gated Recurrent Unit.
Fuzzy sets complement-based Gated Recurrent Unit ; Ferrero-Jaurieta, Mikel (Author) · Dimuro, Gracaliz Pereira (Author). Takáč, Zdenko, 1975- Z1 (Author) - FCHPT ...
Oct 30, 2023 · This study focuses on two critical design aspects of a progressive fuzzy polynomial neural network (PFPNN): the influence of the gated recurrent unit (GRU) ...
Missing: complement- | Show results with:complement-
In this study, we propose a scalable framework that makes sentiment classification by evaluating the compound probability scores of the most widely used methods ...
This work proposes a new ensemble method for managing multilabel classification: the core of the proposed approach combines a set of gated recurrent units and ...
Nov 21, 2023 · A fuzzy inference-based LSTM with the embedding of a fuzzy system is proposed to enhance the accuracy and interpretability of LSTM for long-term time series ...
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This paper proposes a non-singular fast terminal sliding mode control (NFTSMC) method for micro gyroscopes with unknown uncertainty based on gated recurrent ...
Missing: complement- | Show results with:complement-
This paper develops a hybrid prognostic method for machinery degradation. First, a 3σ criterion-based algorithm is introduced to detect the initial timepoint ...
Apr 19, 2023 · The ability to handle the uncertainty and imprecision of time series by using fuzzy sets improves the prediction accuracy of the overall time ...