Testing the Suitability of Wavelet Preprocessing for TSK Fuzzy Models
By Ademola Popoola, Khurshid Ahmad. 2006
17 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Economics and Econometrics, Management Science and Operations Research
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Citations in the corpus
- A deep learning framework for financial time series using stacked autoencoders and long-short term memory (2017, background): “Consequently, wavelet is useful in handling highly irregular financial time series [51].”
- A Hybrid System Integrating a Wavelet and TSK Fuzzy Rules for Stock Price Forecasting (2008, background): “Wavelet filtering is particularly relevant to volatile and time-varying characteristics of real-world time series and is not restrained by the assumption of stationarity [44].”