%0 Book Section %1 WilliamsZipser:95 %A Williams, R. J. %A Zipser, D. %B Back-propagation:Theory, Architectures and Applications %C Hillsdale, NJ, USA %D 1995 %I Lawrence Erlbaum Associates %K ml %P 433--486 %T Gradient-Based Learning Algorithms for Recurrent Networks and Their Computational Complexity

@incollection{WilliamsZipser:95, added-at = {2016-11-26T13:13:30.000+0100}, address = {Hillsdale, NJ, USA}, author = {Williams, {R. J.} and Zipser, D.}, biburl = {https://www.bibsonomy.org/bibtex/26993bf37c29a7bd02943582ffa37db9c/machinelearning}, booktitle = {Back-propagation:{T}heory, {A}rchitectures and {A}pplications}, interhash = {29e4f319e4ea6733fda8d7e57160854f}, intrahash = {6993bf37c29a7bd02943582ffa37db9c}, keywords = {ml}, opteditor = {Y. Chauvin and {D. E.} Rumelhart}, pages = {433--486}, publisher = {Lawrence Erlbaum Associates}, timestamp = {2016-11-26T13:17:02.000+0100}, title = {Gradient-{B}ased {L}earning {A}lgorithms for {R}ecurrent {N}etworks and {T}heir {C}omputational {C}omplexity}, year = 1995 }