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

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缩短

An Extension of the Neural Additive Model for Uncertainty Explanation of Machine Learning Survival Mlanation 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

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Artificial Immune Systems—Models and Applicationsection method provides more accurate results, but is more time and memory-consuming than the negative selection method. Both approaches can be used in different settings. Various applications with a large amount of “friendly” data are more preferable for the negative selection method. For the networ

Assemble

The Analysis of Technology Development Trends Based on the Network Semantic Structure “Subject-Actio. Grid computing technologies have been chosen as a successful and efficient means of processing large text data in the form of patents. An algorithm for parsing a patent document has been developed; an algorithm for preprocessing text documents of a patent selection; a Subject-Action-Object (SAO) e

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Building a Fuzzy Model to Automate the Search for Product Names in Procurement Documentation for a Sbed 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.

B-cell

Synthesis of a Neuro-Fuzzy Model in the Structure of an Automatic Rolling Stock Control Systemds and with the FNN data. Its results confirm the effectiveness of the use of this fuzzy neural network in the optimization of train traffic control in real-time. The simulation was performed in the MATLAB environment.

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GUEER

Operational Model Predictive Control on the Example of the Stabilization Process for Hydro Treatmentnd is one of the most important processes of oil refining and, in particular, a hydrotreating unit of a low-temperature isomerization unit. As a result of this process, the stream is not only cleaned of unnecessary components by separating from it dissolved light hydrocarbons, water, and hydrogen su