首页|Researchers from Faculty of Electronics Detail Findings in Machine Learning (Cos t-Efficient Globalized Parameter Optimization of Microwave Components Through Re sponse-Feature Surrogates and Nature-Inspired Metaheuristics)
Researchers from Faculty of Electronics Detail Findings in Machine Learning (Cos t-Efficient Globalized Parameter Optimization of Microwave Components Through Re sponse-Feature Surrogates and Nature-Inspired Metaheuristics)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on artificial intell igence have been published. According to news originating from the Faculty of El ectronics by NewsRx editors, the research stated, “Design of contemporary microw ave devices predominantly utilizes computational models, including both circuit simulators and fullwave electromagnetic (EM) evaluation. The latter constitutes the sole generic way of rendering accurate assessment of the system outputs tha t considers phenomena such as cross-coupling or radiation and dielectric losses. ” Financial supporters for this research include Icelandic Research Fund; Narodowe Centrum Nauki.
Faculty of ElectronicsCyborgsEmergin g TechnologiesMachine Learning
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