Time Series Forecasting Using Recurrent Neural Networks Based on Recurrent Sigmoid Piecewise Linear Neurons
We propose a new recurrent sigmoid piecewise linear neuron that can be used in neural networks to perform time series forecasting. The neuron model guarantees its dynamical stability for any sequence of input values and any number of recurrent steps and provides an upper bound for the variance of co...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
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| Series: | Applied Artificial Intelligence |
| Online Access: | https://www.tandfonline.com/doi/10.1080/08839514.2025.2490057 |
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