Citation: | REN Xue mei, CHEN Jie, GONG Zhi hao, DOU Li hua. Approximation Property of the Modified Elman Network[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2002, 11(1): 19-23. |
[1] |
Billings S A,Jamaluddin H B,Chen S.P roperties ofneural networks wit h applications to modelling nonlinearsystems[J]. Inter national Journal of Control,1992,55:193-224.
|
[2] |
Narendra K S,Parthasarathy K.Identification and control of dynamical systems using neural netw orks[J]. IEEE T r ansactions on Neural N etworks,1990(1):4-27.
|
[3] |
Pham D T,Liu X.Dynamic syst em identification usingpartially recurrent neur al networ ks[J]. Journal of Systems Engineering,1992,2(2):90-97.
|
[4] |
Scott G M,Ray W H.Creat ing efficient nonlinear netwo rk process models that allow model interpretation[J]. J Process Co ntrol,1993,3(3):163-178.
|
[5] |
F unahashi K.On the approximate realization o f continuous mappings by neural networks[J]. N eural N etworks,1989(2):183-192.
|
[6] |
Hirsch M W,Smale S.Differential equations,dynamicalsystems and linear algebr a[M]. San Diego:AcademicPress,1974.
|
[7] |
R en X M.Identification of dynamic nonlinear systemsusing recurr ent neur al networks[Z]. T he 19th ChineseCont rol Confer ence,Hong K ong,2000.
|
[8] |
K u C C,K wang Y L.Diagonal r ecur rent neural netwo rks for dynamic systems control[J]. IEEE T r ans onNeural N etworks,1995,6(1):144-155.
|