论文信息 - Inversion in Time

Inversion in Time

Inversion of multilayer synchronous networks is a method which tries to answer questions like “What kind of input will give a desired output?” or “Is it possible to get a desired (output under special input/output constraints)?”.

Sebastian Thrun | Alexander Linden

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

[2] Pineda,et al. Generalization of back-propagation to recurrent neural networks. , 1987, Physical review letters.

[3] Geoffrey E. Hinton. Connectionist Learning Procedures , 1989, Artif. Intell..

[4] A. Linden,et al. Inversion of multilayer nets , 1989, International 1989 Joint Conference on Neural Networks.

[5] Kiyohiro Shikano,et al. Modularity and scaling in large phonemic neural networks , 1989, IEEE Trans. Acoust. Speech Signal Process..

[6] James L. McClelland,et al. Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations , 1986 .

[7] Fernando J. Pineda,et al. GENERALIZATION OF BACKPROPAGATION TO RECURRENT AND HIGH-ORDER NETWORKS. , 1987 .

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

[9] Jeffrey L. Elman,et al. Finding Structure in Time , 1990, Cogn. Sci..