Measuring system entropy with a deep recurrent neural network model
In this paper, a methodology for assessing the unpredictability of systems with memory was developed. The proposed approach consists in approximating the probability distribution exhibited by the response of a system, understood as a stochastic process, with a deep recurrent neural network; such net...
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| Main Authors: | , , , |
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| Format: | Default Conference proceeding |
| Published: |
2020
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/15073596.v1 |
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