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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].

eISSN:
1898-9934
Langue:
Anglais
Périodicité:
Volume Open
Sujets de la revue:
Computer Sciences, other, Mathematics, General Mathematics