. . . "3"^^ . "B\u0159ezina, Tom\u00E1\u0161" . . . "The paper compaares feed-forward and recurrent neural network architectures use for identification of simple non-linear dynamic system in the terms of generalization abilities, result precision and computational requirements. Comparison has been made on a number of dynamic systems using Elman model as a representative of recurrent networks and various verions of gradient training applied on layered feed-forward networks with one hidden layer."@en . "3"^^ . "83-914366-0-8" . "26210" . "4"^^ . . . "Krejsa, Ji\u0159\u00ED" . "[748E26A7D376]" . . . "The paper compaares feed-forward and recurrent neural network architectures use for identification of simple non-linear dynamic system in the terms of generalization abilities, result precision and computational requirements. Comparison has been made on a number of dynamic systems using Elman model as a representative of recurrent networks and various verions of gradient training applied on layered feed-forward networks with one hidden layer." . . "RIV/00216305:26210/00:00000141!RIV/2001/MSM/262101/N" . "Krejsa, Ji\u0159\u00ED" . "724792" . "B\u0159ezina, Tom\u00E1\u0161" . "P(VS96122), Z(MSM 262100001)" . "neural networks;non-linear dynamic system;identification"@en . "109" . "Recurrent versus feed-forward neural networks used for identification of non-linear dynamic systems" . . "Recurrent versus feed-forward neural networks used for identification of non-linear dynamic systems" . "Recurrent versus feed-forward neural networks used for identification of non-linear dynamic systems"@en . . "MEANDER S.C." . . "Recurrent versus feed-forward neural networks used for identification of non-linear dynamic systems"@en . "Kratochv\u00EDl, Ctirad" . . "RIV/00216305:26210/00:00000141" . "Kratochv\u00EDl, Ctirad" . . "Warsaw, Poland" . "Mechatronics 2000" . .