TY - GEN A1 - Faßbender, Dennis T1 - fnnlib: a flexible C++ library for recurrent neural network simulations N2 - This thesis introduces fnnlib, a C++ library for recurrent neural network simulations that I developed between October 2009 and March 2010 at Osaka University's Graduate School of Engineering. After covering the theory behind recurrent neural networks, backpropagation through time, recurrent neural networks with parametric bias, continuous-time recurrent neural networks, and echo state networks, the design of the library is explained. All of the classes as well as their interrelationships are presented along with reasons as to why certain design decisions were made. Towards the end of the thesis, a small practical example is shown. Also, fnnlib is compared to other neural network libraries. KW - Neuronales Netz KW - recurrent KW - neural KW - networks KW - backpropagation KW - bias Y1 - 2010 UR - https://kola.opus.hbz-nrw.de/frontdoor/index/index/docId/461 UR - https://nbn-resolving.org/urn:nbn:de:kola-4612 ER -