Comparing the effectiveness of deep feedforward neural networks and shallow architectures for predicting stock price indices

Research article (Expert Systems with Applications, 2019) · cited 77× · AI/ML
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Comparing the effectiveness of deep feedforward neural networks and shallow architectures for predicting stock price indices

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Comparing the effectiveness of deep feedforward neural networks and shallow architectures for predicting stock price indices is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Comparing the effectiveness of deep feedforward neural networks and shallow architectures for predicting stock price indices. Retrieved May 24, 2026, from https://4ort.xyz/entity/comparing-the-effectiveness-of-deep-feedforward-neural-networks-and-shallow-architectures-for-predicting-stock-price-ind
MLA “Comparing the effectiveness of deep feedforward neural networks and shallow architectures for predicting stock price indices.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/comparing-the-effectiveness-of-deep-feedforward-neural-networks-and-shallow-architectures-for-predicting-stock-price-ind.
BibTeX @misc{4ortxyz_comparing-the-effectiveness-of-deep-feedforward-neural-networks-and-shallow-architectures-for-predicting-stock-price-ind_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Comparing the effectiveness of deep feedforward neural networks and shallow architectures for predicting stock price indices}}, year = {2026}, url = {https://4ort.xyz/entity/comparing-the-effectiveness-of-deep-feedforward-neural-networks-and-shallow-architectures-for-predicting-stock-price-ind}, note = {Accessed: 2026-05-24}}
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