The ongoing revolution in deep learning is reshaping research across many fields, including economics. Its effects are especially clear in solving dynamic economic models. These models often lack ...

Abstract: The increasing variety of products has resulted in a rise in production errors, primarily due to more complexity in manufacturing processes. This paper proposes a data-driven inline ...

Abstract: The future nonlinear equation system (FNES) problem requires obtaining the future solution by utilizing the current and past information. For industrial applications, such as real-time ...