Browsing by Subject "Least-squares"

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A comparative study of nonlinear regression and autoregressive techniques in hybrid with particle swarm optimization for time-series forecasting

Kuranga, Cry; Pillay, Nelishia (Elsevier, 2022-03)

Usually, real-world time-series forecasting problems are dynamic. If such time-series are characterized by mere concept shifts, a passive approach to learning become ideal to continuously adapt the model parameters whenever ...
Nonlinear regression in dynamic environments using particle swarm optimization

Kuranga, Cry; Pillay, Nelishia (Springer, 2020-11)

This paper extends a PSO-based nonlinear regression technique to dynamic environments whereby the induced model dynamically adjusts when an environmental change is detected. As such, this work hybridizes a PSO designed for ...

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