Cognitive Method for Synthesising a Fuzzy Controller Mathematical Model Using a Genetic Algorithm for Tuning

Big Data and Cognitive Computing, Journal Year: 2025, Volume and Issue: 9(1), P. 17 - 17

Published: Jan. 20, 2025

In this article, a fuzzy controller mathematical model synthesising method that uses cognitive computing and genetic algorithm for automated tuning adaptation to changing environmental conditions has been developed. The technique consists of 12 stages, including creating the control objects’ coefficients using classical methods. research pays special attention error parameters their derivative fuzzification, which simplifies development logical rules helps increase stability systems. were tuned in computational experiment based on helicopter flight data. results show an integral quality criterion from 85.36 98.19%, confirms efficiency by 12.83%. use made it possible significantly improve turboshaft engines’ gas-generator rotor speed performance, reducing first second types errors 2.06…12.58 times compared traditional

Language: Английский

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Utilizing Construction and Demolition Waste in Concrete as a Sustainable Cement Substitute: A Comprehensive Study on Behavior Under Short-term Dynamic and Static Loads via Laboratory and Numerical Analysis

Journal of Building Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 110778 - 110778

Published: Sept. 1, 2024

Language: Английский

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Analysis of the Use of Similarity Coefficients in Manufacturing Cell Formation Processes

Applied System Innovation, Journal Year: 2025, Volume and Issue: 8(1), P. 23 - 23

Published: Feb. 11, 2025

This study investigated the application of similarity coefficients in cellular layout and group technology industrial organizations, focusing on multicellular manufacturing. Cell formation methods techniques were explored, ranging from operations to production volume, addition main elements technology. Cellular offer tangible benefits processes, such as increased operational efficiency, reduced costs, improved quality final products. The choice implementation based take into account factors product variety, process complexity, market demand. One is use coefficients. purpose this analyze cell process. technical contribution that now practitioners have a detailed guide applying verifying results manufacturing activities. A bibliometric search using convenient keywords Google Scholar engine identified incidences twenty types most cited coefficient, Jaccard was tested standard non-standard cases, compared support conclusion. Further research should involve quantitative multicriteria evaluation fuzzy logic

Language: Английский

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An Auto Hierarchical Clustering Algorithm to Distinguish Geometries Suitable for Additive and Traditional Manufacturing Technologies: Comparing Humans and Unsupervised Learning

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 104418 - 104418

Published: Feb. 1, 2025

Language: Английский

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Generalized Matrix Learning Vector Quantization Computational Method for Intelligent Decision Making: A Systematic Literature Review

Archives of Computational Methods in Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: March 10, 2025

Language: Английский

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Spatial effect in corporate intelligent manufacturing: empirical evidence from Chinese listed companies

Applied Economics, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 17

Published: April 7, 2025

Language: Английский

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GA-Optimized Sampling for Soil Type Mapping in Plain Areas: Integrating Legacy Maps and Multisource Covariates

Agronomy, Journal Year: 2025, Volume and Issue: 15(4), P. 963 - 963

Published: April 15, 2025

Soil mapping plays a crucial role in optimizing agricultural production by providing spatially explicit information on soil types and properties, which supports decision-making precision fertilization, irrigation, crop selection. Traditional methods, rely field surveys laboratory analyses, face challenges related to efficiency scalability. Although combining legacy maps with environmental covariates can reveal soil–environment relationships improve sampling layouts, low spatial variability significant human activity plain areas often hinder the effectiveness of existing algorithms, making them sensitive sample density variability. This study proposes genetic algorithm (GA)-based optimization framework tailored By integrating covariates, GA dynamically balances dispersion representativeness, addressing limitations traditional methods homogeneous landscapes. In case conducted Tongzhou District, Beijing, China, method combined random forest modeling, applied type mapping, achieved highest kappa coefficient 70.25% 5000 points—an average improvement 10% over fuzzy C-means clustering K-nearest neighbor methods. Additionally, field-validated accuracy reached 89.69%, representing 13% other demonstrates that GA-based approach significantly enhances representativeness efficiency, thereby improving digital mapping. The proposed offers an efficient reliable solution for areas, contributing optimized land use more informed agriculture decisions.

Language: Английский

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AI Power for Digital Manufacturing

Digital engineering., Journal Year: 2024, Volume and Issue: 2, P. 100016 - 100016

Published: Sept. 1, 2024

Language: Английский

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Research on real-time optimization technology of intelligent manufacturing based on learning algorithm

Procedia Computer Science, Journal Year: 2024, Volume and Issue: 243, P. 1189 - 1195

Published: Jan. 1, 2024

Language: Английский

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