GEP: Genetic Expression Programming for Modeling Time Series

GEP is a branch of evolutionary algorithm for modeling time series, which can automatically search for the best model representing the data patterns, similar to current popular neural architecture search (NES) research in deep learning.

Wavelet-HFCM: Complex Network Model for Time Series Prediction

Wavelet-HFCM is a hybrid model basedon fuzzy logic and complex networks for time series prediction, achieving comparative prediction results on both stationary and non-stationary time series.