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基于RBF神经网络与DECIMO算法的螺旋离心泵多目标优化设计

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Affiliation of Author(s):能源与动力工程学院

ISSN No.:1674-8530

Translation or Not:no

Next One:Multi-objective parameters optimization of centrifugal slurry pump based on RBF neural network and NSGA-II genetic algorithm

王春林

Gender:Male Education Level:With Certificate of Graduation for Doctorate Study Degree:doctor School/Department:江苏大学