AR-Net: A simple Auto-Regressive Neural Network for time-series

Time Series Analysis: Forecasting and Control

George.E.P. Box and Gwilym M. Jenkins · 1976

Earlier work this paper cites.

Multilayer feedforward networks are universal approximators

K. Hornik, M. Stinchcombe, and H. White · 1989

Earlier work this paper cites.

Approximation by superpositions of a sigmoidal function

G. Cybenko · 1989

Earlier work this paper cites.

Feed-forward neural nets as models for time series forecasting

Zaiyong Tang and Paul A. Fishwick · 1993

Earlier work this paper cites.

Feedforward neural nets as models for time series forecasting

Zaiyong Tang and Paul Fishwick · 1993

Earlier work this paper cites.

Long short-term memory

Sepp Hochreiter and Jürgen Schmidhuber · 1997

Earlier work this paper cites.

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Gowrishankar Subrahmanyam and P S. Satyanarayana · 2009

Earlier work this paper cites.

Forecasting: principles and practice

R.J. Hyndman and G. Athanasopoulos · 2014

Earlier work this paper cites.

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Ilya Sutskever, Oriol Vinyals, and Quoc V. Le · 2014

Earlier work this paper cites.

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Later among the works it cites.

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