+
+\documentclass{article}
+\usepackage[T1]{fontenc}
+\usepackage[latin1]{inputenc}
+\usepackage{amsmath}
+\usepackage{dsfont}
+\renewcommand{\labelenumii}{\labelenumi\arabic{enumii}}
+
+\begin{document}
+
+\begin{flushright}
+\today
+\end{flushright}%
+
+\vspace{-0.5cm}\hspace{-2cm}Computer Science Laboratory, LIFC
+
+\hspace{-2cm}University of Franche-Comt\'e
+
+\hspace{-2cm}25030 Besan\c{c}on, France.
+
+\bigskip
+
+\begin{center}
+Detailed changes and addressed issues in the revision of the paper
+
+"Recurrent Neural Networks and Chaos: Construction, \\
+Evaluation, and Prediction Ability" \\
+renamed in \\
+"Chaotic Neural Networks: Construction, Evaluation, and Prediction Ability"
+
+by Jacques M. Bahi, Jean-Fran\c{c}ois Couchot, Christophe Guyeux, and Michel Salomon
+
+\bigskip
+\end{center}
+
+Please, find below the detailed changes and issues we addressed in the
+revision of our above mentioned paper that we resubmit.
+
+All the remarks and recommendations of the three reviewers have been
+considered and have led to modifications in the paper.
+
+\begin{itemize}
+\item Concerning the remarks of reviewer No. 1:
+\end{itemize}
+
+\begin{enumerate}
+\item Please explain the topic "Recurrent Neural Networks and Chaos:
+ Construction, Evaluation, and Prediction Ability" which makes me
+ confused. Does the paper discuss the construction, evaluation, and
+ prediction ability of chaotic neural networks? And in the paper, the
+ chaotic neural networks are mainly done research on.
+
+ {\it Our response}
+
+ To be completed
+\item Please explain the Line 242( "than chaotic iterations Ff with
+ initial condition............" ) and Line 298( "investigate, when
+ comparing neural networks and Devaney's chaos").
+
+ {\it Our response}
+
+ To be completed
+\item Section VI analyzes the suitability of artificial neural
+ networks for predicting chaotic behaviors. So, I think section VI
+ don't correspond to the topic. And homoplastically, lines 30-32("the
+ learning, with neural networks having a feedforward structure, of
+ chaotic behaviors represented by data sets obtained from chaotic
+ maps, is far more difficult than non chaotic behaviors") refer to
+ the learning of neural networks having a feedforward structure. But
+ lines 402-405 refer to all the network topologies.
+
+ {\it Our response}
+
+ To be completed
+\item Please explain the meanings of the percentage in TABLE I and
+ TABLE II.
+
+ {\it Our response}
+
+ To be completed
+\item Except for prediction success rates, in order to reflect the
+ prediction ability, please add the analysis of the prediction errors
+ for data sequence and diagram it.
+
+ {\it Our response}
+
+ To be completed
+\end{enumerate}
+
+\begin{itemize}
+\item Concerning the remarks of reviewer No. 2:
+\end{itemize}
+
+\begin{enumerate}
+\item On the basis of the result botained by Guyeux in Ref[12], the
+ authors dealed with chaotic neural networks for various fields of
+ appli1cation. Firstly, the authors described how to build a neural
+ network that can be trained to learn a given chaotic map function,
+ then found a condition that allow to check whether the iterations
+ induced by a function are chaotic or not, and thus if a chaotic map
+ is obtained. As the authors said that this work is different from
+ most of prviews works, this manuscript gave a rigorous mathematical
+ proof for chaos of chaotic neural networks. This is a very
+ interesting work. On the other hand, I think, the conclusion is too
+ long, and some Definitions such as Definition 1-Definition 5 are
+ wellknow Definition, it's no necessary to be presented any more.
+
+ {\it Our response}
+
+\end{enumerate}
+
+We are very grateful to the reviewers who, by their recommendations,
+allowed us to improve our paper.
+
+%TCIMACRO{%
+%\TeXButton{Flushright}{\begin{flushright}
+%Best regards\\
+%The authors
+%\end{flushright}}}%
+%BeginExpansion
+\begin{flushright}
+Best regards\\
+The authors
+\end{flushright}%
+%EndExpansion
+
+\end{document}
