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Werbos: backpropagation through time

Set out backpropagation through time for training dynamic and recurrent systems by unfolding the system through time and propagating derivatives across the unfolded computation.

What is recorded here?

Set out backpropagation through time for training dynamic and recurrent systems by unfolding the system through time and propagating derivatives across the unfolded computation.

Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.

Scientific scope

The record is Werbos's sole-author 1990 paper. It does not claim sole invention of reverse-mode automatic differentiation or ordinary feed-forward backpropagation, and it does not establish convergence for every recurrent architecture.

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People and systems

P. J. Werbos

The named authors contributed to this scoped work; individual effort shares and later applications are not assigned by the byline.

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Documented countries / regions: United States

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English catalogue narrative

Werbos: backpropagation through time

Set out backpropagation through time for training dynamic and recurrent systems by unfolding the system through time and propagating derivatives across the unfolded computation.

Scientific scope

The record is Werbos's sole-author 1990 paper. It does not claim sole invention of reverse-mode automatic differentiation or ordinary feed-forward backpropagation, and it does not establish convergence for every recurrent architecture.

Reading status

This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.

People and systems

P. J. Werbos

The named authors contributed to this scoped work; individual effort shares and later applications are not assigned by the byline.

Original sources