首页|Researchers’ Work from Xiamen University Focuses on Machine Learning [A Spatial Inverse Design Method (Sidm) Based On Machine Learning for Frequency-s elective-surface (Fss) Structures]
Researchers’ Work from Xiamen University Focuses on Machine Learning [A Spatial Inverse Design Method (Sidm) Based On Machine Learning for Frequency-s elective-surface (Fss) Structures]
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news reporting originating in Xiamen, People’s Republic of China, by NewsRx journalists, research stated, “To efficiently and convenien tly realize the design of frequency-selective-surface (FSS) structures with many degrees of freedoms (DoFs), a spatial inverse design method (SIDM) based on mac hine learning technology is proposed. The proposed SIDM takes advantages of the inverse modeling and topological design to spatially design for FSS.” Funders for this research include Science and Technology Projects of Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province, National Natural Science Foundation of China (NSFC).
XiamenPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningXiamen University
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