This is a very, very simple fcup report template that i have been using.
There are some inline guidelines in the form of comments but this is a really barebones so there isnt much.
As some help here are some commands that might be usefull:
\cite{X}
Don't forget to add the citation to the file bibliography this is a citation example
@article
{
X,
title={X},
author={X},
journal={X},
volume={X},
number={X},
year={X},
publisher={X}
}
Using google scholar you can click on Cite button, it then opens a pop-up window where you can click BibTex, it will generate what you need to paste on the bibliography.bib file
$$ InformationGain(S,A) = Entropy(S) $$
$ Entropy(S) $
\sum_{V_i \in A} p(V_i).Entropy(S| A = V_i)
\frac{InformationGain(S,A)}{InformationSplit(S,A)}
\includegraphics[width = 17cm]{Images/neuralnetwork.png}
A figure with an image, caption and label (centered)
\begin{figure}[htp]
\centering
\centerline{\includegraphics[width = 17cm]{Images/neuralnetwork.png}}
\caption{simple feed forward network with 1 hidden layer}
\label{fig:FNN}
\end{figure}
\begin{algorithm}
\caption{Top-down decision tree induction algorithms}\label{alg:cap}
\begin{algorithmic}
\Function{Main}{Set,Attributes}:
\State $\textbf{Node }Root \gets empty$
\If {All samples belong to same class}
\State $Root \gets \textrm{label class}$
\State \Return $Root$
\EndIf
\If {$Set$ is empty $or$ $Attributes$ is empty}
\State $Root \gets \textrm{most probable class}$
\State \Return $Root$
\EndIf
\Switch{$Q_I.Type$}
\Case{$a$}
\State a
\EndCase
\Case{$b$}
\State b
\EndCase
\EndSwitch
\For{\textbf{each} value, $V_i$, of A}
\State $\textrm{Root's children} \gets Main(Set|A = V_i\textrm{, Attributes - A) }$
\EndFor
\State \Return $Root$
\EndFunction
\end{algorithmic}
\end{algorithm}
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