Forecasting Nasdaq stock exchange time series using an improved recurrent spiking Pi-Sigma artificial neural network
Abstract Due to their flexible model structures and their success in nonlinear modelling, artificial neural networks provide good alternatives for solving the forecasting problem. It is seen that different artificial neuron models can positively affect the forecasting performance and pave the way fo...
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| Huvudupphov: | , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Utgiven: |
Nature Portfolio
2026-04-01
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| Serie: | Scientific Reports |
| Ämnen: | |
| Länkar: | https://doi.org/10.1038/s41598-026-49954-6 |
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