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

• المؤلفون الرئيسيون: Xie, Chen, Rajan, Deepu, Chai, Quek
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2022
• الموضوعات: Engineering::Computer science and engineering; Fuzzy Neural Network; Hammerstein-Wiener Model
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/159511

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...