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

Big Data and Cognitive Computing, Год журнала: 2025, Номер 9(1), С. 17 - 17

Опубликована: Янв. 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

Язык: Английский

Generative Adversarial Network for Adaptive Piano Accompaniment

Systems and Soft Computing, Год журнала: 2025, Номер unknown, С. 200289 - 200289

Опубликована: Май 1, 2025

Язык: Английский

An Effective Analysis of New Meta Heuristic Algorithms and Its Performance Comparison

Опубликована: Янв. 1, 2025

Язык: Английский