Phillip Rothenbeck 10 місяців тому
батько
коміт
9d69307f43
2 змінених файлів з 41 додано та 1 видалено
  1. 10 1
      thesis.bbl
  2. 31 0
      thesis.bib

+ 10 - 1
thesis.bbl

@@ -1,4 +1,4 @@
-\begin{thebibliography}{MPF23}
+\begin{thebibliography}{HSW89}
 
 % this bibliography is generated by alphadin.bst [8.2] from 2005-12-21
 
@@ -17,6 +17,15 @@
 \newblock \emph{Mathematical Models in Biology}.
 \newblock Society for Industrial and Applied Mathematics, 2005
 
+\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.

+ 31 - 0
thesis.bib

@@ -100,4 +100,35 @@
   keywords  = {Numerical Analysis (math.NA), FOS: Mathematics, FOS: Mathematics},
 }
 
+@Book{Goodfellow-et-al-2016,
+  author    = {Ian Goodfellow and Yoshua Bengio and Aaron Courville},
+  publisher = {MIT Press},
+  title     = {Deep Learning},
+  year      = {2016},
+  note      = {\url{http://www.deeplearningbook.org}},
+}
+
+@Article{Lagaris1997,
+  author    = {Lagaris, I. E. and Likas, A. and Fotiadis, D. I.},
+  title     = {Artificial Neural Networks for Solving Ordinary and Partial Differential Equations},
+  year      = {1997},
+  copyright = {Assumed arXiv.org perpetual, non-exclusive license to distribute this article for submissions made before January 2004},
+  doi       = {10.48550/ARXIV.PHYSICS/9705023},
+  keywords  = {Computational Physics (physics.comp-ph), Cellular Automata and Lattice Gases (nlin.CG), Quantum Physics (quant-ph), FOS: Physical sciences, FOS: Physical sciences},
+}
+
+@Article{Hornik1989,
+  author    = {Hornik, Kurt and Stinchcombe, Maxwell and White, Halbert},
+  journal   = {Neural Networks},
+  title     = {Multilayer feedforward networks are universal approximators},
+  year      = {1989},
+  issn      = {0893-6080},
+  month     = jan,
+  number    = {5},
+  pages     = {359--366},
+  volume    = {2},
+  doi       = {10.1016/0893-6080(89)90020-8},
+  publisher = {Elsevier BV},
+}
+
 @Comment{jabref-meta: databaseType:bibtex;}