Titlebook: Cyber-Physical Systems; Digital Technologies Alla G. Kravets,Alexander A. Bolshakov,Maxim V. Sh Book 2021 The Editor(s) (if applicable) and

Flinch

裙帶關(guān)系

https://doi.org/10.1007/978-3-662-39704-6ormation of assembly batches at a hot rolling mill based on the genetic algorithm considering technological restrictions imposed on the production process. The optimization of the set of assembly batches consists of the construction of a set with maximum productivity, which is achieved by reducing t

Outmoded

https://doi.org/10.1007/978-3-662-39704-6l approach. The process is described mathematically based on the informational principle of maximum entropy, and the informational criterion of a relative estimate of system organization bears the role of the target function in the optimization. The application allows a user to calculate the most pr

蕨類

DNR215

https://doi.org/10.1007/978-3-662-39704-6nt development, a description of which is contained in the knowledge base. The graph of states is based on a mathematical model of the “tube” of ranges in values of parameters at each stage during the normal development of the plant, as well as in case of dangerous weather events and going beyond cr

EXULT

Solomon Garb,Eleanor Krakauer,Carson Justicemple of a nonlinear dynamic system with unknown environmental parameters as one of the tasks of the cyber-physical system are considered. The experiment uses a layered network structure with a teacher, an “anti-rotation” learning optimization algorithm, neurons with sigmoid nonlinearity, a fully con

效果

惡心

https://doi.org/10.1007/978-3-642-69619-0of technological development trends, a survey of data sources for training the neural network were carried out. Existing data mining techniques were analyzed for more accurate and faster forecasting. A module for predictive modeling of trends in technological development is developed, algorithms for

Neonatal

抱怨

Miscellaneous Abnormalities of the Esophagus to process this information and extract the most relevant data from the array of patents. This article discusses component extraction methods, technical problems, and solutions. Structured information from patents is stored in a structured form in an ontology. Information about system components is