Configurable Model for Sigmoid and Hyperbolic Tangent Functions
Recurrent neural networks (RNNs) are considered to be among the most important types of neural networks especially for the applications where processing of a sequence of data comes to place. RNNs are in general computationally expensive and need a lot of processing time and power. Therefore, there i...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
ARQII PUBLICATION
2023-07-01
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| Series: | Applications of Modelling and Simulation |
| Subjects: | |
| Online Access: | http://arqiipubl.com/ojs/index.php/AMS_Journal/article/view/395/153 |