Smooth Logistic Real and Complex, Ordinary and Fractional Neural Network Approximations over Infinite Domains
In this work, we study the univariate quantitative smooth approximations, including both real and complex and ordinary and fractional approximations, under different functions. The approximators presented here are neural network operators activated by Richard’s curve, a parametrized form of logistic...
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| 第一著者: | |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
MDPI AG
2024-07-01
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| シリーズ: | Axioms |
| 主題: | |
| オンライン･アクセス: | https://www.mdpi.com/2075-1680/13/7/462 |
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