Mackey Glass Time Series Prediction Using Least Mean Square

Version 2.0.1 (105 KB) by Shujaat Khan
Mackey Glass Time Series Prediction Using Least Mean Square (LMS)
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Updated 16 Apr 2020

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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://uk.mathworks.com/matlabcentral/fileexchange/61017-mackey-glass-time-series-prediction-using-least-mean-square), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2011a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
2.0.1

Minor typos in text
2.0.0.0

- Random initialization of weights
- Teacher forcing method and ARMA modelling support
- Prediction of sequence output of forward #time_steps
1.0.0.0

display picture change
- Example
- correction of weight update rule.
- correction of error calculation