Contents: D.E. Rumelhart R. Durbin R. Golden Y. Chauvin Backpropagation: The Basic Theory. A. Waibel T. Hanazawa G. Hinton K. Shikano K.J. Lang Phoneme Recognition Using Time-Delay Neural Networks. C. Schley Y. Chauvin V. Henkle Automated Aircraft Flare and Touchdown Control Using Neural Networks. F.J. Pineda Recurrent Backpropagation Networks. M.C. Mozer A Focused Backpropagation Algorithm for Temporal Pattern Recognition. D.H. Nguyen B. Widrow Nonlinear Control with Neural Networks. M.I. Jordan D.E. Rumelhart Forward Models: Supervised Learning with a Distal Teacher. S.J. Hanson Backpropagation: Some Comments and Variations. A. Cleeremans D. Servan-Schreiber J.L. McClelland Graded State Machines: The Representation of Temporal Contingencies in Feedback Networks. S. Becker G.E. Hinton Spatial Coherence as an Internal Teacher for a Neural Network. J.R. Bachrach M.C. Mozer Connectionist Modeling and Control of Finite State Systems Given Partial State Information. P. Baldi Y. Chauvin K. Hornik Backpropagation and Unsupervised Learning in Linear Networks. R.J. Williams D. Zipser Gradient-Based Learning Algorithms for Recurrent Networks and Their Computational Complexity. P. Baldi Y. Chauvin When Neural Networks Play Sherlock Homes. P. Baldi Gradient Descent Learning Algorithms: A Unified Perspective.
Contents: D.E. Rumelhart R. Durbin R. Golden Y. Chauvin Backpropagation: The Basic Theory. A. Waibel T. Hanazawa G. Hinton K. Shikano K.J. Lang Phoneme Recognition Using Time-Delay Neural Networks. C. Schley Y. Chauvin V. Henkle Automated Aircraft Flare and Touchdown Control Using Neural Networks. F.J. Pineda Recurrent Backpropagation Networks. M.C. Mozer A Focused Backpropagation Algorithm for Temporal Pattern Recognition. D.H. Nguyen B. Widrow Nonlinear Control with Neural Networks. M.I. Jordan D.E. Rumelhart Forward Models: Supervised Learning with a Distal Teacher. S.J. Hanson Backpropagation: Some Comments and Variations. A. Cleeremans D. Servan-Schreiber J.L. McClelland Graded State Machines: The Representation of Temporal Contingencies in Feedback Networks. S. Becker G.E. Hinton Spatial Coherence as an Internal Teacher for a Neural Network. J.R. Bachrach M.C. Mozer Connectionist Modeling and Control of Finite State Systems Given Partial State Information. P. Baldi Y. Chauvin K. Hornik Backpropagation and Unsupervised Learning in Linear Networks. R.J. Williams D. Zipser Gradient-Based Learning Algorithms for Recurrent Networks and Their Computational Complexity. P. Baldi Y. Chauvin When Neural Networks Play Sherlock Homes. P. Baldi Gradient Descent Learning Algorithms: A Unified Perspective.
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