Top–Down Sparse Fuzzy Regression Modeling from Data with Improved Coverage

Author:

Lughofer Edwin,Kindermann Stefan,Pratama Mahardhika,Rubio Jose de Jesus

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Software

Reference47 articles.

1. Akerkar, R., Sajja, P.: Knowledge-Based Systems. Jones & Bartlett Learning, Sudbury (2009)

2. Babuska, R.: Fuzzy Modeling for Control. Kluwer Academic Publishers, Norwell (1998)

3. Castro, J., Delgado, M.: Fuzzy systems with defuzzification are universal approximators. IEEE Trans. Syst. Man Cybern. Part B: Cybern. 26(1), 149–152 (1996)

4. Celikyilmaz, A., Türksen, I.: Modeling Uncertainty with Fuzzy Logic: With Recent Theory and Applications. Springer, Berlin (2009)

5. Cernuda, C., Lughofer, E., Röder, T., Märzinger, W., Reischer, T., Pawliczek, M., Brandstetter, M.: Self-adaptive non-linear methods for improved multivariate calibration in chemical processes. Lenzing. Ber. 92, 12–32 (2015)

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