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Investigators from Shenyang Aerospace University Zero in on Mathematics (Qga-qgcnn: a Model of Quantum Gate Circuit Neural Network Optimized By Quantum Genetic Algorithm)
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机译：Investigators from Shenyang Aerospace University Zero in on Mathematics (Qga-qgcnn: a Model of Quantum Gate Circuit Neural Network Optimized By Quantum Genetic Algorithm)
By a News Reporter-Staff News Editor at Network Daily News – Investigatorspublish new report on Mathematics. According to news reporting originating from Shenyang, People’sRepublic of China, by NewsRx correspondents, research stated, “Using a global optimization algorithmto optimize the initial weights and thresholds of traditional neural network models can effectively addressthe problems of premature convergence and lower accuracy. However, the shortcomings such as slowconvergence speed and poor local search ability still exist.”
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