Optimal SFNN hyperparameters.

<p>Tuned hyperparameter values, as determined by Ray Tune grid search, indicate the optimal number of incidence feature time lags, hidden dimension, and weight decay value, for each forecasting window.</p> <p>(PDF)</p>

Publication Details

Journal
Figshare
Published
2024-11-21
DOI
https://doi.org/10.1371/journal.pcbi.1012616.s003
Primary Topic
Stock Market Forecasting Methods
Type
article
Field-Weighted Citation Impact
0.00
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article

Optimal SFNN hyperparameters.

Figshare
Stock Market Forecasting Methods
article

Optimal SFNN hyperparameters.

article en

Abstract

<p>Tuned hyperparameter values, as determined by Ray Tune grid search, indicate the optimal number of incidence feature time lags, hidden dimension, and weight decay value, for each forecasting window.</p> <p>(PDF)</p>

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Openalex Percentile: Top 54%
Stock Market Forecasting Methods
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Optimal SFNN hyperparameters. · Figshare (2024) | TGRS Research Map | TGRS