По вашему запросу найдено документов: 57330
Страница 1 из 5733
Machine learning control based on approximation of optimal trajectoriesThe paper is devoted to an emerging trend in control—a machine learning control. Despite
Solving the Control Synthesis Problem Through Supervised Machine Learning of Symbolic Regression the control synthesis problem for a mobile robot using a supervised machine learning method. A relatively new
Speech recognition using machine learning plant, air traffic controller, etc.) is used to exclude the possibility of error. Moreover
Unsupervised Machine Learning Control Techniques for Solving the General Synthesis of Control System ProblemThe focus of this study is a relatively new development in the field of control: machine learning
Using symbolic regression techniques for machine learning to control robot movement: Advantages and consSymbolic regression techniques, a prominent facet of machine learning, have garnered attention
Synthesised Optimal Control for a Robotic Group by Complete Binary Genetic Programming*The paper continues the study of symbolic regression methods for control learning. The optimal
Promising directions of information technologies applications for improving of control and measuring devices in medical industry and modernization of the digital radiography using modern machine learning algorithms are given and justified
Mechanism theory and machine parts in such disciplines as "Machine parts", "Fundamentals of design and machine parts", "Theory of machines and mechanisms
Исследование методов машинного обучения на основе генетического программирования и символьной регрессии для управления мобильными роботамиIn recent decades, machine learning methods have become a key tool in the development and control
A machine learning approach for predicting SINR. Prediction is performed using machine learning; for this, a single-layer neural network was built and applied
Страница 1 из 5733
Фасеты
Партнеры
Индексация
