首页|Studies from Southeast University Provide New Data on Machine Learning (An Effic ient Position Optimization Method Based On Improved Genetic Algorithm and Machin e Learning for Sparse Array)
Studies from Southeast University Provide New Data on Machine Learning (An Effic ient Position Optimization Method Based On Improved Genetic Algorithm and Machin e Learning for Sparse Array)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators discuss new findings in Machine Lea rning. According to news originating from Nanjing, People’s Republic of China, b y NewsRx correspondents, research stated, “Sparse array antennas are significant in communication and radar systems due to the advantages of high resolution, lo w complexity, and immunity to interference. In this letter, a novel array synthe sis method based on an improved genetic algorithm (IGA) is proposed to optimize the antenna position in the sparse array.” Financial supporters for this research include Natural Science Foundation for Ex cellent Young Scholars of Jiangsu Province, State Key Laboratory of Integrated C hips and Systems, National Key Laboratory of Wireless Communications Foundation, National Key Laboratory on Electromagnetic Environmental Effects and Electro-op tical Engineering, ISN State Key Lab, National Natural Science Foundation of Chi na (NSFC).
NanjingPeople’s Republic of ChinaAsi aAlgorithmsCyborgsEmerging TechnologiesGenetic AlgorithmsGeneticsMac hine LearningSoutheast University
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