Sequential GMDH Algorithm and Its Application to River Flow Prediction

By S. Ikeda, M. Ochiai, Y. Sawaragi. 1976

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Deep learning in neural networks: An overview (2014, methodology): “The contents of this paper may be used for educational and noncommercial purposes, including articles for Wikipedia and similar sites.”
A neuro-fuzzy computing technique for modeling hydrological time series (2004, methodology): “Owing to the difficulties associated with non-linear model structure identification and parameter estimation, very few truly non-linear system theoretic hydrologic models have been reported (e.g. Jacoby, 1966; Amorocho and Brandstetter, 1971; Ikeda et al., 1976).”