\subsection{min\_max}
Checks for minimal and maximal values of an input matrix for \textbf{newff}.\\

\subsubsection{Syntax:}

$pr = min\_max(mInputs)$\\

\subsubsection{Description:}
\textit{mInputs} must be a matrix with input training data sets. This means in the case, for a 9-2-1 MLP
(this means 9 input-, 2 hidden- and 1 output-neuron) with 100 input training data sets, the matrix must be
an 9x100 matrix. \textit{pr} will then be a 9x2 matrix with minimal values in the first column and maximal values in the second column. If a row holds 2 zeros, a warning will appear (no information in this row!).

\subsubsection{Important:}
The equival function in MATLAB(TM) is called \textit{minmax}. This is not possible because the functions \textit{min} and \textit{max} in Octave are programed in minmax.cc!