Local Feedback Multilayered Networks
暂无分享,去创建一个
[1] Pineda,et al. Generalization of back-propagation to recurrent neural networks. , 1987, Physical review letters.
[2] Raymond L. Watrous,et al. Complete gradient optimization of a recurrent network applied to /b/,/d/,/g/ discrimination , 1988 .
[3] M. Gherrity,et al. A learning algorithm for analog, fully recurrent neural networks , 1989, International 1989 Joint Conference on Neural Networks.
[5] Barak A. Pearlmutter. Learning State Space Trajectories in Recurrent Neural Networks , 1989, Neural Computation.
[6] M. Gori,et al. BPS: a learning algorithm for capturing the dynamic nature of speech , 1989, International 1989 Joint Conference on Neural Networks.
[7] Michael C. Mozer,et al. A Focused Backpropagation Algorithm for Temporal Pattern Recognition , 1989, Complex Syst..
[8] James L. McClelland,et al. Finite State Automata and Simple Recurrent Networks , 1989, Neural Computation.
[9] Ronald J. Williams,et al. A Learning Algorithm for Continually Running Fully Recurrent Neural Networks , 1989, Neural Computation.
[10] Jeffrey L. Elman,et al. Finding Structure in Time , 1990, Cogn. Sci..
[11] H. Bourlard,et al. Links Between Markov Models and Multilayer Perceptrons , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[12] Yoshua Bengio,et al. Learning the dynamic nature of speech with back-propagation for sequences , 1992, Pattern Recognit. Lett..
[13] Taylor,et al. Spatiotemporal pattern processing in a compartmental-model neuron. , 1993, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
[14] Yoshua Bengio,et al. The problem of learning long-term dependencies in recurrent networks , 1993, IEEE International Conference on Neural Networks.
[15] H. Demmou,et al. Temporal sequence learning with neural networks for process fault detection , 1993, Proceedings of IEEE Systems Man and Cybernetics Conference - SMC.