Mackey Glass Time Series Prediction Using Least Mean Square
Mackey Glass Time Series Prediction Using Least Mean Square (LMS)
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In this submission, I demonstrated the problem of time series prediction using least mean square (LMS) algorithm.
Cite As
Shujaat Khan (2026). Mackey Glass Time Series Prediction Using Least Mean Square (https://www.mathworks.com/matlabcentral/fileexchange/61017-mackey-glass-time-series-prediction-using-least-mean-square), MATLAB Central File Exchange. Retrieved .
Acknowledgements
Inspired by: Mackey-Glass time series generator
Inspired: Mackey Glass Time Series Prediction using Radial Basis Function (RBF) Neural Network, Extrapolation of a sinusoidal signal Using Least Mean Square (LMS), Mackey Glass Time Series Prediction Using Fractional Least Mean Square (FLMS)
General Information
- Version 2.0.1 (105 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 2.0.1 | Minor typos in text |
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| 2.0.0.0 | - Random initialization of weights
|
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| 1.0.0.0 | display picture change
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