Fluctuation‐driven learning rule for continuous‐time recurrent neural networks and its application to dynamical system control

[1]  Kenji Doya,et al.  Adaptive neural oscillator using continuous-time back-propagation learning , 1989, Neural Networks.

[2]  Michael I. Jordan,et al.  Forward Models: Supervised Learning with a Distal Teacher , 1992, Cogn. Sci..

[3]  Masa-aki Sato.  A learning algorithm to teach spatiotemporal patterns to recurrent neural networks , 2004, Biological Cybernetics.

[4]  Soo-Young Lee,et al.  Analog neuro-chips with on-chip learning capability for adaptive nonlinear equalizers , 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).

[5]  Barak A. Pearlmutter.  Learning State Space Trajectories in Recurrent Neural Networks , 1989, Neural Computation.