Improvement in the information-oriented construction of temporary soil-retaining walls using sparse modeling

This fundamental study investigates how “super-resolution” technology based on sparse modeling, which has attracted attention in various fields, can be applied to the information-oriented construction of temporary soil-retaining walls. The machine learning process adopted here is based on the analytical results of numerical computations that involve many preliminary assumptions related to soil-retaining walls, rather than the collection of...