Evaluation of Enterprise Financial Risk Level under Digital Transformation with Artificial Neural Network

With the continuous development of national economy, enterprises have gradually entered digital age from industrial age, and transformation has become a must for enterprise survival. Digital empowers high-quality puts forward higher requirements financial risk management. The problem is one that every business deal with at some point during its operations. ushered in new era also weather vane, which beneficial to comprehensively avoid risks, do good job system defense multiparty coordination, can quickly accurately manage corporate finances solve risks timely manner. Starting background transformation, this article clarifies significance preventing era. Combining it artificial neural networks, work proposes an intelligent method assessing level context. This EFRL-ResNet network, improved on basis ResNet. At same time, depth-wise separable convolution (DSConv) structure Mobile-Net combined ResNet network build lightweight deep network. Through case risk, verified reduce training time model without losing accuracy grade evaluation. paper improves loss function unbalanced number data samples assessment model.