[Octave-cvsupdate] octave-forge/main/nnet/doc/latex/developers/octave/functions isposintOct.tex, 1.2, 1.3 min_max.tex, 1.2, 1.3 newff.tex, NONE, 1.1 poststd.tex, NONE, 1.1 prestd.tex, NONE, 1.1 sim.tex, NONE, 1.1 train.tex, NONE, 1.1 trastd.tex, NONE, 1.1

[Michael <mic...@us...>]

Update of /cvsroot/octave/octave-forge/main/nnet/doc/latex/developers/octave/functions
In directory sc8-pr-cvs3.sourceforge.net:/tmp/cvs-serv20012/doc/latex/developers/octave/functions

Added Files:
	isposintOct.tex min_max.tex newff.tex poststd.tex prestd.tex 
	sim.tex train.tex trastd.tex 
Log Message:
Added Files:
 	doc/latex/developers/octave/functions/isposintOct.tex 
 	doc/latex/developers/octave/functions/min_max.tex 
 	doc/latex/developers/octave/functions/newff.tex 
 	doc/latex/developers/octave/functions/poststd.tex 
 	doc/latex/developers/octave/functions/prestd.tex 
 	doc/latex/developers/octave/functions/sim.tex 
 	doc/latex/developers/octave/functions/train.tex 
 	doc/latex/developers/octave/functions/trastd.tex 
Removed Files:
 	doc/latex/users/notations.tex 


--- NEW FILE: min_max.tex ---
\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!
--- NEW FILE: newff.tex ---
\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!
--- NEW FILE: prestd.tex ---
\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!
--- NEW FILE: isposintOct.tex ---
\section{isposint}
Checks if value is a positive integer.\\

\subsubsection{Syntax:}

$f = isposint(val)$\\
$f = 0$ if val is negative integer or float and is 0 if val is a positive float.\\

\subsubsection{Example 1:}
val = 5.3;\\
isposint(val)\\
ans = 0\\

\subsubsection{Example 2:}
val = -5;\\
isposint(val)\\
ans = 0\\

\subsubsection{Example 3:}
val = 0;\\
isposint(val)\\
ans = 1\\

\subsubsection{Example 4:}
val = 5;\\
isposint(val)\\
ans = 1\\


--- NEW FILE: train.tex ---
\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!
--- NEW FILE: trastd.tex ---
\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!
--- NEW FILE: sim.tex ---
\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!
--- NEW FILE: poststd.tex ---
\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!