An interpretable Neural Fuzzy Hammerstein-Wiener network for stock price prediction

An interpretable Neural Fuzzy Hammerstein-Wiener network for stock price prediction

An interpretable regression model is proposed in this paper for stock price prediction. Conventional offline neuro-fuzzy systems are only able to generate implications based on fuzzy rules induced during training, which requires the training data to be able to adequately represent all system behavio...

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書目詳細資料
Main Authors:	Xie, Chen, Rajan, Deepu, Chai, Quek
其他作者:	School of Computer Science and Engineering
格式:	Article
語言:	English
出版:	2022
主題:	Engineering::Computer science and engineering Fuzzy Neural Network Hammerstein-Wiener Model
在線閱讀:	https://hdl.handle.net/10356/159511
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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