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Performance Comparison of Deep and Shallow Artificial Neural Networks for the S&P 500 Index

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Bibliographic Details
Published in:Turkish Journal of Forecasting
Format: Online Article RSS Article
Published: 2026
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container_title Turkish Journal of Forecasting
description
discipline_display Natural Sciences
discipline_facet Natural Sciences
format Online Article
RSS Article
genre Journal Article
id rss_article:16258
institution FRELIP
journal_source_facet Turkish Journal of Forecasting
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Performance Comparison of Deep and Shallow Artificial Neural Networks for the S&P 500 Index
Probabilities and Math Statistics
Natural Sciences — Mathematical Sciences
Natural Sciences
sub_discipline_display Natural Sciences — Mathematical Sciences
sub_discipline_facet Natural Sciences — Mathematical Sciences
subject_display Probabilities and Math Statistics
Natural Sciences — Mathematical Sciences
Natural Sciences
Probabilities and Math Statistics
Natural Sciences — Mathematical Sciences
Natural Sciences
subject_facet Probabilities and Math Statistics
Natural Sciences — Mathematical Sciences
Natural Sciences
title Performance Comparison of Deep and Shallow Artificial Neural Networks for the S&P 500 Index
title_auth Performance Comparison of Deep and Shallow Artificial Neural Networks for the S&P 500 Index
title_full Performance Comparison of Deep and Shallow Artificial Neural Networks for the S&P 500 Index
title_fullStr Performance Comparison of Deep and Shallow Artificial Neural Networks for the S&P 500 Index
title_full_unstemmed Performance Comparison of Deep and Shallow Artificial Neural Networks for the S&P 500 Index
title_short Performance Comparison of Deep and Shallow Artificial Neural Networks for the S&P 500 Index
title_sort performance comparison of deep and shallow artificial neural networks for the s&p 500 index
topic Probabilities and Math Statistics
Natural Sciences — Mathematical Sciences
Natural Sciences
url https://dergipark.org.tr/en/pub/forecasting/article/1867852%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20