Residual Deep Fuzzy System with Randomized Fuzzy Modules for Accurate Time Series Forecasting

Author:

Liu Yunxia,Li Chengdong,Lu Xiao,Wang Haixia

Publisher

Elsevier BV

Reference55 articles.

1. A long-term multivariate time series forecasting network combining series decomposition and convolutional neural networks;X Y Wang;Applied Soft Computing,2023

2. Deep time series forecasting with shape and temporal criteria;V Le Guen;IEEE Transactions on Pattern Analysis and Machine Intelligence,2023

3. Metro passenger flow forecasting though multi-source time-series fusion: An ensemble deep learning approach;H T Li;Applied Soft Computing,2022

4. Intelligent sports prediction analysis system based on improved Gaussian fuzzy algorithm;Y H Men;Alexandria Engineering Journal,2022

5. Double-input-rule-modules stacked deep interval type-2 fuzzy model with application to time series forecasting;W Peng;International Journal of Fuzzy Systems,2021

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