Titlebook: Cyber-Physical Systems: Intelligent Models and Algorithms; Alla G. Kravets,Alexander A. Bolshakov,Maxim Shche Book 2022 The Editor(s) (if

水汽

The Models for Predictive Maintenance of Robotic Agricultural Vehiclescultural vehicles is presented. The hierarchical structure of simulation models for a robotic vehicle is described. The analysis of existing works in the field of modeling the maintenance for various objects is carried out. A timed colored Petri net model is proposed. The model belongs to the class

seroma

Development of a Cyber-Physical System for Neurofuzzy Prediction of the Concentration of the Contain the developed system to predict the nonlinear characteristics of an object with an error of less than 22%. To solve this goal, a neuro-fuzzy system has been developed for predicting the concentration of impurities during the transportation of oil emulsion from wells. The description of the fuzzy se

碎石头

Machine Learning-Based Cyber-Physical Systems for Forecasting Short-Term State of Unstable Systemsy complicated. Within the conducted computational experiment that employed direct averaging by three after-effects of analog windows, the average forecast accuracy oscillates between 15 and 20%. Effective forecasting of a chaotic process of a complicated inertia-less nature based on the considered c

镀金

Wolfgang Grundmann,Rudolf Rathnerlanation are represented in the form of shape functions which show the impact or contribution of every feature on the prediction provided by the black-box model. An algorithm implementing the method is presented. Numerical examples illustrate the proposed method by using real datasets including the

Charitable

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Plaque

https://doi.org/10.1007/978-3-8349-4744-4rm. Comparisons of forecast values with actual values (about 1%) suggest the selected network model adequacy and its applicability in practice for the reliable operation of the cable power supply system for consumers. It is shown that the effect of the implementation of the proposed principles of or

疾驰

Allgemeine Bankbetriebswirtschaftrobability density of clear random boundaries between terms of a linguistic variable. At the same time, both the method of constructing membership functions based on the analysis of probability density functions and the method using a simple probabilistic scheme, do not have high mathematical and co

FLORA

Prüfungstraining zum Bankfachwirtbed by fuzzy sets with Gaussian membership functions. The fuzzy inference algorithm is implemented in PHP 5.6, PHP Framework Laravel. The procurement documentation database is implemented in the MySQL system. The results of the algorithm are presented.

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