Applying a Flexible Fuzzy Adaptive Regression to Runoff Estimation

Author:

Spiliotis Mike1,Garrote Luis2ORCID

Affiliation:

1. Department of Civil Engineering, School of Engineering, Democritus University of Thrace, 67100 Xanthi, Greece

2. Department of Civil Engineering: Hydraulics, Energy and Environment, Universidad Politécnica de Madrid, 28040 Madrid, Spain

Publisher

MDPI

Reference11 articles.

1. Ponce, V.M. (1989). Engineering Hydrology: Principles and Practices, Prentice Hall.

2. Spiliotis, M., and Garrote, L. (2022, January 7–9). Assessment of a Precipitation-Runoff relation based on a new fuzzy adaptive regression. Proceedings of the 7th IAHR Europe Congress “Innovative Water Management in a Changing Climate”, Athens, Greece.

3. Assessment of bedload transport in gravel-bed rivers with a new fuzzy adaptive regression;Spiliotis;Eur. Water,2017

4. Sen, Z. (2010). Fuzzy Logic and Hydrological Modelling, Taylor and Francis Group, CRC Press.

5. Chen, G., and Pham, T.T. (2001). Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems, CRC Press.

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