In this article, we create an artificial neural network (ANN) that combines both classical and modern techniques for determining the key length of a Vigen\`{e}re cipher. We provide experimental evidence supporting the accuracy of our model for a wide range of parameters. We also discuss the creation and features of this ANN along with a comparative analysis between our ANN, the index of coincidence, and the twist-based algorithms.

翻译：本文构建了一种融合经典与现代技术的人工神经网络（ANN），用于确定维吉尼亚密码的密钥长度。我们通过实验证据验证了该模型在广泛参数范围内的准确性。同时，本文详细阐述了该人工神经网络的构建过程与特性，并将其与重合指数算法及基于扭转变换的算法进行了对比分析。