Data-driven methods provide model creation tools for systems where the application of conventional analytical methods is restrained. The proposed method involves the data …
In this paper, we describe the concept of generative design approach applied to the automated evolutionary learning of mathematical models in a computationally efficient way …
A Hvatov, M Maslyaev - Proceedings of the 2020 Genetic and …, 2020 - dl.acm.org
The modern machine learning methods allow one to obtain the data-driven models in various ways. However, the more complex the model is, the harder it is to interpret. In the …
The paper proposes and investigates an approach for surrogate-assisted performance prediction of data-driven knowledge discovery algorithms. The approach is based on the …
Optimization is omnipresent in many research areas and has become a critical component across industries. However, while researchers often focus on a theoretical analysis or …
Optimization is omnipresent in many research areas and has become a critical component across industries. However, while researchers often focus on a theoretical analysis or …
Геомеханический мониторинг напряженного состояния массива горных пород (далее МГП)–это активно развивающийся раздел геомеханики, в котором на данный момент …
The modern machine learning methods allow one to obtain the datadriven models in various ways. However, the more complex the model is, the harder it is to interpret. In the paper, we …