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

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書目名稱Cyber-Physical Systems影響因子(影響力)




書目名稱Cyber-Physical Systems影響因子(影響力)學(xué)科排名




書目名稱Cyber-Physical Systems網(wǎng)絡(luò)公開度




書目名稱Cyber-Physical Systems網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Cyber-Physical Systems被引頻次




書目名稱Cyber-Physical Systems被引頻次學(xué)科排名




書目名稱Cyber-Physical Systems年度引用




書目名稱Cyber-Physical Systems年度引用學(xué)科排名




書目名稱Cyber-Physical Systems讀者反饋




書目名稱Cyber-Physical Systems讀者反饋學(xué)科排名

ALT

Role of Simulation in the Development of a Digital Twin of a Food Itemem, which includes the whole variety of factors (physical and chemical, functional and technological, structural, and mechanical) is a “digital model” of such item. The example of creating a functional product in the form of a sausage product shows the stages of forming the model. At the first stage

Directed

不幸的人

ordain

Automation of Assembly Batches Installation in Hot Rolling Millsormation 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

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Identification of a Technological Process with Application of Neural Network Modelingobject and a control system is considered. The conceptual scheme is based on the hidden information potential of the cyber-physical system, which consists of the data on its functioning registered during operation. Neural network technology allows us to realize this potential, using the accumulated

職業(yè)

entrance

Forecasting the Future State of a Dynamic System by a Neural Network as a Task for a Cyber-Physical mple 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

Type-1-Diabetes

Predicting Research Trend Based on Bibliometric Analysis and Paper Ranking Algorithmtific papers hold significant indication about the dynamics included in the development of science; signs that may help predict the growth and decline of scientific methods, ideas, and even fields. The research presented in this paper focuses on a general approach to analyze and predict the thematic