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Online veröffentlicht: 21. Dez. 2022
Seitenbereich: 13 - 21
Akzeptiert: 30. Apr. 2022
DOI: https://doi.org/10.2478/forma-2022-0002
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© 2022 Keiichi Miyajima et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 International License.
In this article, Feed-forward Neural Network is formalized in the Mizar system [1], [2]. First, the multilayer perceptron [6], [7], [8] is formalized using functional sequences. Next, we show that a set of functions generated by these neural networks satisfies equicontinuousness and equiboundedness property [10], [5]. At last, we formalized the compactness of the function set of these neural networks by using the Ascoli-Arzela’s theorem according to [4] and [3].