Thesis/thesis.bbl

\begin{thebibliography}{HSW89}

% this bibliography is generated by alphadin.bst [8.2] from 2005-12-21

\providecommand{\url}[1]{\texttt{#1}}
\expandafter\ifx\csname urlstyle\endcsname\relax
  \providecommand{\doi}[1]{doi: #1}\else
  \providecommand{\doi}{doi: \begingroup \urlstyle{rm}\Url}\fi

\bibitem[And91]{Anderson1991}
\textsc{Anderson}, Robert~M. Roy Malcolm;~May~M. Roy Malcolm;~May:
\newblock \emph{Infectious diseases of humans : dynamics and control}.
\newblock Oxford University Press, 1991

\bibitem[EK05]{EdelsteinKeshet2005}
\textsc{Edelstein-Keshet}, Leah:
\newblock \emph{Mathematical Models in Biology}.
\newblock Society for Industrial and Applied Mathematics, 2005

\bibitem[GBC16]{Goodfellow-et-al-2016}
\textsc{Goodfellow}, Ian ; \textsc{Bengio}, Yoshua  ; \textsc{Courville},
  Aaron:
\newblock \emph{Deep Learning}.
\newblock MIT Press, 2016. --
\newblock \url{http://www.deeplearningbook.org}

\bibitem[HSW89]{Hornik1989}
\textsc{Hornik}, Kurt ; \textsc{Stinchcombe}, Maxwell  ; \textsc{White},
  Halbert:
\newblock Multilayer feedforward networks are universal approximators.
\newblock {In: }\emph{Neural Networks} 2 (1989), Januar, Nr. 5, S. 359--366.
\newblock \url{http://dx.doi.org/10.1016/0893-6080(89)90020-8}. --
\newblock DOI 10.1016/0893--6080(89)90020--8. --
\newblock ISSN 0893--6080

\bibitem[KM27]{1927}
\textsc{Kermack}, William~O. ; \textsc{McKendrick}, A.~G.:
\newblock A contribution to the mathematical theory of epidemics.
\newblock {In: }\emph{Proceedings of the Royal Society of London. Series A,
  Containing Papers of a Mathematical and Physical Character} 115 (1927),
  August, Nr. 772, S. 700--721.
\newblock \url{http://dx.doi.org/10.1098/rspa.1927.0118}. --
\newblock DOI 10.1098/rspa.1927.0118. --
\newblock ISSN 2053--9150

\bibitem[LLF97]{Lagaris1997}
\textsc{Lagaris}, I.~E. ; \textsc{Likas}, A.  ; \textsc{Fotiadis}, D.~I.:
\newblock Artificial Neural Networks for Solving Ordinary and Partial
  Differential Equations.
\newblock   (1997).
\newblock \url{http://dx.doi.org/10.48550/ARXIV.PHYSICS/9705023}. --
\newblock DOI 10.48550/ARXIV.PHYSICS/9705023

\bibitem[MP72]{Minsky1972}
\textsc{Minsky}, Marvin ; \textsc{Papert}, Seymour~A.:
\newblock \emph{Perceptrons}.
\newblock 2. print. with corr.
\newblock Cambridge/Mass. [u.a.] : The MIT Press, 1972. --
\newblock ISBN 9780262630221. --
\newblock Literaturangaben

\bibitem[MPF23]{Millevoi2023}
\textsc{Millevoi}, Caterina ; \textsc{Pasetto}, Damiano  ; \textsc{Ferronato},
  Massimiliano:
\newblock A Physics-Informed Neural Network approach for compartmental
  epidemiological models.
\newblock   (2023).
\newblock \url{http://dx.doi.org/10.48550/ARXIV.2311.09944}. --
\newblock DOI 10.48550/ARXIV.2311.09944

\bibitem[Ros58]{Rosenblatt1958}
\textsc{Rosenblatt}, F.:
\newblock The perceptron: A probabilistic model for information storage and
  organization in the brain.
\newblock {In: }\emph{Psychological Review} 65 (1958), Nr. 6, S. 386--408.
\newblock \url{http://dx.doi.org/10.1037/h0042519}. --
\newblock DOI 10.1037/h0042519. --
\newblock ISSN 0033--295X

\bibitem[RPK17]{Raissi2017}
\textsc{Raissi}, Maziar ; \textsc{Perdikaris}, Paris  ; \textsc{Karniadakis},
  George~E.:
\newblock \emph{Physics Informed Deep Learning (Part I): Data-driven Solutions
  of Nonlinear Partial Differential Equations}

\bibitem[Rud07]{Rudin2007}
\textsc{Rudin}, Walter:
\newblock \emph{Analysis}.
\newblock Oldenbourg Wissenschaftsverlag GmbH, 2007

\bibitem[TP85]{Tenenbaum1985}
\textsc{Tenenbaum}, Morris ; \textsc{Pollard}, Harry:
\newblock \emph{Ordinary Differential Equations}.
\newblock Harper and Row, Publishers, Inc., 1985

\end{thebibliography}