A Dynamic Neural Network Architecture with Immunology Inspired Optimization for Weather Data Forecasting
Recurrent neural networks are dynamical systems that provide for memory capabilities to recall past behaviour, which is necessary in the prediction of time series. In this paper, a novel neural network architecture inspired by the immune algorithm is presented and used in the forecasting of naturall...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier Inc.
2018
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |