\section{/var/www/mlpack.ratml.\+org/mlpack.org/\+\_\+src/mlpack-\/3.3.0/src/mlpack/methods/ann/init\+\_\+rules/nguyen\+\_\+widrow\+\_\+init.hpp File Reference}
\label{nguyen__widrow__init_8hpp}\index{/var/www/mlpack.\+ratml.\+org/mlpack.\+org/\+\_\+src/mlpack-\/3.\+3.\+0/src/mlpack/methods/ann/init\+\_\+rules/nguyen\+\_\+widrow\+\_\+init.\+hpp@{/var/www/mlpack.\+ratml.\+org/mlpack.\+org/\+\_\+src/mlpack-\/3.\+3.\+0/src/mlpack/methods/ann/init\+\_\+rules/nguyen\+\_\+widrow\+\_\+init.\+hpp}}
Include dependency graph for nguyen\+\_\+widrow\+\_\+init.\+hpp\+:
\nopagebreak
\begin{figure}[H]
\begin{center}
\leavevmode
\includegraphics[width=350pt]{nguyen__widrow__init_8hpp__incl}
\end{center}
\end{figure}
\subsection*{Classes}
\begin{DoxyCompactItemize}
\item 
class \textbf{ Init\+Traits$<$ Nguyen\+Widrow\+Initialization $>$}
\begin{DoxyCompactList}\small\item\em Initialization traits of the Nguyen-\/\+Widrow initialization rule. \end{DoxyCompactList}\item 
class \textbf{ Nguyen\+Widrow\+Initialization}
\begin{DoxyCompactList}\small\item\em This class is used to initialize the weight matrix with the Nguyen-\/\+Widrow method. \end{DoxyCompactList}\end{DoxyCompactItemize}
\subsection*{Namespaces}
\begin{DoxyCompactItemize}
\item 
 \textbf{ mlpack}
\begin{DoxyCompactList}\small\item\em strip\+\_\+type.\+hpp \end{DoxyCompactList}\item 
 \textbf{ mlpack\+::ann}
\begin{DoxyCompactList}\small\item\em Artificial Neural Network. \end{DoxyCompactList}\end{DoxyCompactItemize}


\subsection{Detailed Description}
\begin{DoxyAuthor}{Author}
Marcus Edel
\end{DoxyAuthor}
Definition and implementation of the Nguyen-\/\+Widrow method. This initialization rule initialize the weights so that the active regions of the neurons are approximately evenly distributed over the input space.

For more information, see the following paper.


\begin{DoxyCode}
@inproceedings\{NguyenIJCNN1990,
  title=\{Improving the learning speed of 2-layer neural networks by choosing
  initial values of the adaptive weights\},
  booktitle=\{Neural Networks, 1990., 1990 IJCNN International Joint
  Conference on\},
  year=\{1990\}
\}
\end{DoxyCode}


mlpack is free software; you may redistribute it and/or modify it under the terms of the 3-\/clause B\+SD license. You should have received a copy of the 3-\/clause B\+SD license along with mlpack. If not, see {\tt http\+://www.\+opensource.\+org/licenses/\+B\+S\+D-\/3-\/\+Clause} for more information. 