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机译:基于特征融合神经网络的压水堆安全参数预测
Cent South Univ, Sch Math & Stat, Changsha 410083, Peoples R China;
China Inst Atom Energy, Beijing 102413, Peoples R China;
Donghua Univ, Sch Fash & Art Design, Shanghai 200051, Peoples R China;
Pressurized water reactor; Feature fusion; Neural network; Subassembly power peaking factor; Rod power peaking factor; Limited effective multiplication factor;