--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/main/nnet/doc/latex/developers/octave/functions/isposintOct.tex	Wed Jul 25 07:07:19 2007 +0000
@@ -0,0 +1,28 @@
+\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\\
+

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/main/nnet/doc/latex/developers/octave/functions/min_max.tex	Wed Jul 25 07:07:19 2007 +0000
@@ -0,0 +1,14 @@
+\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!
\ No newline at end of file

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/main/nnet/doc/latex/developers/octave/functions/newff.tex	Wed Jul 25 07:07:19 2007 +0000
@@ -0,0 +1,14 @@
+\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!
\ No newline at end of file

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/main/nnet/doc/latex/developers/octave/functions/poststd.tex	Wed Jul 25 07:07:19 2007 +0000
@@ -0,0 +1,14 @@
+\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!
\ No newline at end of file

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/main/nnet/doc/latex/developers/octave/functions/prestd.tex	Wed Jul 25 07:07:19 2007 +0000
@@ -0,0 +1,14 @@
+\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!
\ No newline at end of file

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/main/nnet/doc/latex/developers/octave/functions/sim.tex	Wed Jul 25 07:07:19 2007 +0000
@@ -0,0 +1,14 @@
+\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!
\ No newline at end of file

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/main/nnet/doc/latex/developers/octave/functions/train.tex	Wed Jul 25 07:07:19 2007 +0000
@@ -0,0 +1,14 @@
+\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!
\ No newline at end of file

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/main/nnet/doc/latex/developers/octave/functions/trastd.tex	Wed Jul 25 07:07:19 2007 +0000
@@ -0,0 +1,14 @@
+\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!
\ No newline at end of file

--- a/main/nnet/doc/latex/users/notations.tex	Tue Jul 24 20:49:13 2007 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,24 +0,0 @@
-\chapter*{Notation}
-
-% diese Aufzählung bitte 2-Spaltig
-\begin{multicols}{2}[]
-
-\section*{Kapitel }
-
-\begin{tabbing}
-$T_t$ ~~~~~~~~~~~~~~~~\=erster Tabulator~~~~~~~~~~~~~~~~~~\=\kill
-$T_t$    \> gesamte Totzeit						  \\
-$T_s$	   \> Data Bus Sampling Time			\\
-$T_c$	   \> Controller Sampling Time		\\
-$T_d$	   \> Residual Delay Time					\\
-$k$      \> aktuelle Sampling-Nummer 		\\
-$\eta$   \> Spindel-Wirkungsgrad 				\\
-$Acmd$   \> Soll-Beschleunigung 			  \\
-$Vcmd$   \> Soll-Geschwindigkeit 			 	\\
-$Scmd$   \> Soll-Position  							\\
-$iValue$ \> Stromamplitude 							\\
-$Iact$	 \>	Stromamplitdue 							\\
-\end{tabbing}
-
-
-\end{multicols}
\ No newline at end of file