This is a tutorial on Mackey-Glass time series generation.
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This is not really an error but - In the main algorithm, shouldn't T(i) be updated immediately after X(i) is updated? That way x0 would correspond to x(0) and not x(0.1) = x(deltat).
It seems that the time series is not correct when the parameters are fixed as follows:
a=1.2,b=1,tau=60,deltat=0.01,sampe_n = 200000;
Inspired: Mackey Glass Time Series Prediction Using Least Mean Square (LMS), Mackey Glass Time Series Prediction Using Fractional Least Mean Square (FLMS), Chaotic Time Series Prediction using Spatio-Temporal RBF-NN, Mackey Glass Time Series Prediction using Radial Basis Function (RBF) Neural Network
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