A weights direct determination neuronet for time‐series with applications in the industrial indices of the Federal Reserve Bank of St. Louis

The shortcomings of conventional back‐propagation neuronets, such as slow training speed and local minimum, are known to be addressed by neuronets trained under the weights‐and‐structure‐determination (WASD) algorithm. Derived from power activation feed‐forward neuronets, a multi‐input WASD for time...

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Veröffentlicht in:	Journal of forecasting 2022-11, Vol.41 (7), p.1512-1524
1. Verfasser:	Mourtas, Spyridon D.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Central banks industrial indices neural networks Power time‐series forecasting WASD neuronet
Online-Zugang:	Volltext
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