Evolutionary search algorithm for learning activation function of an artificial neural network
Neural networks require careful selection of activation functions to optimize performance. Traditional methods of choosing activation functions through trial and error are time-consuming and resource-intensive. This paper presents a novel approach to automatically design activation functions for art...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2025-01-01
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| Series: | ITM Web of Conferences |
| Online Access: | https://www.itm-conferences.org/articles/itmconf/pdf/2025/03/itmconf_hmmocs-III2024_05004.pdf |
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