Evolutionary fuzzification of RIPPER for regression: Case study of stock prediction

Author:

Asadi Shahrokh

Funder

University of Tehran

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference71 articles.

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2. Data mining: Concepts and Techniques: Concepts and Techniques;Han,2011

3. Forecasting economic and financial time-series with non-linear models;Clements;Int. J. Forecast.,2004

4. Hybridization of evolutionary Levenberg–Marquardt neural networks and data pre-processing for stock market prediction;Asadi;Knowl. Based Syst.,2012

5. A Takagi–Sugeno fuzzy model combined with a support vector regression for stock trading forecasting;Chang;Appl. Soft Comput.,2016

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