ABSTRACT

Hyper automation is the group of approaches and software companies utilised to automate manual procedures. Financial Technology (FinTech) was processed as a distinctive classification that highly inspects the financial technology sector from a broader group of functions for enterprises with utilise of Information Technology (IT) application. Financial crisis prediction (FCP) is the most essential FinTech technique, defining institutions’ financial status. This study proposes an Eagle Strategy Arithmetic Optimisation Algorithm with Optimal Deep Convolutional Forest (ESAOA-ODCF) based FinTech Application for Hyperautomation. The ESAOA-ODCF technique has achieved exceptional performance with maximum accu y of 98.61%, and F score of 98.59%. Extensive experimental research revealed that the ESAOA-ODCF model beat more modern, cutting-edge approaches in terms of overall performance.

摘要

超级自动化是一组用于自动化手动程序的方法和软件公司。金融科技（FinTech）被作为一个独特的分类，从更广泛的功能组中高度审视金融科技领域，为企业利用信息技术（IT）应用。金融危机预测（FCP）是最重要的金融科技技术，定义机构的财务状况。本研究提出了一种基于最佳深度卷积森林（ESAOA-ODCF）的鹰策略算术优化算法，用于超自动化的金融科技应用。ESAOA-ODCF 技术取得了优异的性能，最高准确率达到 98.61%，F 分数达到 98.59%。广泛的实验研究表明，ESAOA-ODCF 模型击败了更现代的、