<commit_before>/**
 * \file anfis_mackeyglass.cpp
 *
 * Based on the MATLAB Fuzzy Logic Toolbox example:
 *  "Predict Chaotic Time-Series" (see [1,2]).
 * The following is a description of the problem as found in [1,2].
 *
 * This example uses an ANFIS model to predict a time series that is generated
 * by the following Mackey-Glass (MG) time-delay differential equation:
 * \f[
 *  \dot{x}(t) = \frac{0.2x(t-\tau)}{1+x^{10}(t-\tau)}=0.1x(t)
 * \f]
 * This time series is chaotic with no clearly defined period.
 * The series does not converge or diverge, and the trajectory is highly<commit_msg>Fixed doc of Mackey-Glass tANFIS's example<commit_after>/**
 * \file anfis_mackeyglass.cpp
 *
 * Based on the MATLAB Fuzzy Logic Toolbox example:
 *  "Predict Chaotic Time-Series"
 * See [1,2], in the references below.
 * The following is a description of the problem as found in [1,2].
 *
 * This example uses an ANFIS model to predict a time series that is generated
 * by the following Mackey-Glass (MG) time-delay differential equation:
 * \f[
 *  \dot{x}(t) = \frac{0.2x(t-\tau)}{1+x^{10}(t-\tau)}=0.1x(t)
 * \f]
 * This time series is chaotic with no clearly defined period.
 * The series does not converge or diverge, and the trajectory is highly
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