Adaptive state representation and estimation using recurrent connectionist networks

[1]  Michael I. Jordan.  Attractor dynamics and parallelism in a connectionist sequential machine , 1990 .

[2]  L. B. Almeida.  A learning rule for asynchronous perceptrons with feedback in a combinatorial environment , 1990 .

[3]  David Zipser,et al.  A Subgrouping Strategy that Reduces Complexity and Speeds Up Learning in Recurrent Networks , 1989, Neural Computation.

[4]  James L. McClelland,et al.  Finite State Automata and Simple Recurrent Networks , 1989, Neural Computation.

[5]  Ronald J. Williams,et al.  A Learning Algorithm for Continually Running Fully Recurrent Neural Networks , 1989, Neural Computation.

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

[7]  Ronald J. Williams,et al.  Experimental Analysis of the Real-time Recurrent Learning Algorithm , 1989 .

[8]  Ronald J. Williams,et al.  Gradient-Based Learning Algorithms for Recurrent Networks , 1989 .

[9]  A. W. Smith,et al.  Encoding sequential structure: experience with the real-time recurrent learning algorithm , 1989, International 1989 Joint Conference on Neural Networks.

[10]  Michael C. Mozer,et al.  A Focused Backpropagation Algorithm for Temporal Pattern Recognition , 1989, Complex Syst..

[11]  Fernando J. Pineda,et al.  Dynamics and architecture for neural computation , 1988, J. Complex..

[12]  Geoffrey E. Hinton,et al.  Learning internal representations by error propagation , 1986 .

[13]  S. Thomas Alexander,et al.  Adaptive Signal Processing , 1986, Texts and Monographs in Computer Science.

[14]  J J Hopfield,et al.  Neurons with graded response have collective computational properties like those of two-state neurons. , 1984, Proceedings of the National Academy of Sciences of the United States of America.

[15]  Carl H. Smith,et al.  Inductive Inference: Theory and Methods , 1983, CSUR.

[16]  Jerome A. Feldman,et al.  Connectionist Models and Their Properties , 1982, Cogn. Sci..

[17]  Michael G. Thomason,et al.  Syntactic Pattern Recognition, An Introduction , 1978, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[18]  S. Grossberg,et al.  How does a brain build a cognitive code? , 1980, Psychological review.

[19]  Geoffrey E. Hinton.  Relaxation and its role in vision , 1977 .

[20]  Azriel Rosenfeld,et al.  Scene Labeling by Relaxation Operations , 1976, IEEE Transactions on Systems, Man, and Cybernetics.

[21]  P. Werbos,et al.  Beyond Regression : "New Tools for Prediction and Analysis in the Behavioral Sciences , 1974 .

[22]  L. Mcbride,et al.  Optimization of time-varying systems , 1965 .