Adaptive filtering prediction and control, pp.293-294, 1984. ,
Multilayer feedforward networks are universal approximators, Multilayer feedforward networks are universal approximators, pp.359-366, 1989. ,
DOI : 10.1016/0893-6080(89)90020-8
Weight-decoupled Kalman filter learning algorithm of multi-layered neural networks, Neural Network World, vol.1, pp.95-51, 1995. ,
Asymptotic behavior of the extended Kalman filter as a parameter estimator for linear systems, IEEE Transactions on Automatic Control, vol.24, issue.1, pp.36-50, 1979. ,
DOI : 10.1109/TAC.1979.1101943
Theory and practice of recursive identification, pp.54-56, 1987. ,
Neural-network nonlinear adaptive filtering using the extended Kalman filter algorithm, International Neural Network Conference, pp.115-118, 1990. ,
Identification and control of dynamical systems using neural networks, IEEE Transactions on Neural Networks, vol.1, issue.1, pp.4-27, 1990. ,
DOI : 10.1109/72.80202
Training recurrent neural networks: why and how? An illustration in dynamical process modeling, IEEE Transactions on Neural Networks, vol.5, issue.2, pp.178-184, 1994. ,
DOI : 10.1109/72.279183
Decoupled extended Kalman filter training of feedforward layered networks, IJCNN-91-Seattle International Joint Conference on Neural Networks, pp.771-777, 1991. ,
DOI : 10.1109/IJCNN.1991.155276
Neurocontrol of nonlinear dynamical systems with Kalman filter trained recurrent networks, IEEE Transactions on Neural Networks, vol.5, issue.2, pp.279-297, 1994. ,
DOI : 10.1109/72.279191
Black-box modeling with state-space neural networks, in Neural Adaptive Control Technology, pp.237-264, 1996. ,
Training multilayer perceptrons with the extended Kalman algorithm, Advances in Neural Information Processing Systems I, pp.133-140, 1989. ,
Training recurrent networks using the extended Kalman filter, [Proceedings 1992] IJCNN International Joint Conference on Neural Networks, pp.241-246, 1992. ,
DOI : 10.1109/IJCNN.1992.227335