首页|Study Results from China University of Mining and Technology Update Understanding of Machine Learning (Optimized Design of Graphene Waveguide Composite Structur e Pressure Sensor Based On Machine Learning)
Study Results from China University of Mining and Technology Update Understanding of Machine Learning (Optimized Design of Graphene Waveguide Composite Structur e Pressure Sensor Based On Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning. According to news reporting from Beijing, People’s Republic of China, by NewsRx journalists, research stated, “Aiming for high sensitivity and satisf ying transmission loss, intelligent optimization methods involving machine Learning are worthwhile to apply for optical pressure sensor development since machin e learning is versatile enough to correlate the complex and nonlinear relationsh ip between device performance and sensor structural parameters. This article proposes a three-stage framework to conduct the optimal design of an optical pressure sensor facing multiple optimization objectives.”
BeijingPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningChina University of Mining and Technology
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