New Energy Research Research from University of South China Described (Research on Thermal-Hydraulic Parameter Prediction Method of the Small Lead-Bismuth Fast Reactor Core Based on Adaptive RBF Neural Network)

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New Energy Research Research from University of South China Described (Research on Thermal-Hydraulic Parameter Prediction Method of the Small Lead-Bismuth Fast Reactor Core Based on Adaptive RBF Neural Network)

机译：从大学新能源研究研究中国南方(研究描述热工参数的预测方法小铅铋快反应堆核心的基础上自适应RBF神经网络)

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By a News Reporter-Staff News Editor at Network Daily News – Researchers detail new data in energy research. According to news reporting originating from Hengyang, People’s Republic of China, by NewsRx correspondents, research stated, “In this study, a cladding surface temperature prediction method based on an adaptive RBF neural network was proposed.”

机译：由一个新闻记者在网络新闻编辑每日新闻)- - -研究人员详细的新数据能源研究。来自衡阳,人民共和国中国NewsRx记者、研究说,“在这项研究中,一个包层表面温度基于自适应RBF神经预测方法提出了网络。”

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《Network Daily News》 |2022年第25期|58-58|共1页
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正文语种英语
中图分类 TP-778;
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ENERGY SCIENCE; Neural network; ChinanewsEnergy sourcesNetworkAsiauniversitiesparameter prediction;

机译：能源科学;神经网络;ChinanewsEnergy预测;

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2. 基于RBF神经网络的不确定机器人的自适应控制（Uncertainty Robot Adaptive Control Based On RBF Neural Network） [C] . Chinese Control Conference vol.2; 20040810-13; Wuxi(CN) . 2004

机译：基于RBF神经网络的不确定机器人的自适应控制（Uncertainty Robot Adaptive Control Based On RBF Neural Network）
3. A hybrid real-time tidal prediction mechanism based on harmonic method and variable structure neural network [O] . Yin J. C., Wang, N. N., Hu, J. Q. 2015

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New Energy Research Research from University of South China Described (Research on Thermal-Hydraulic Parameter Prediction Method of the Small Lead-Bismuth Fast Reactor Core Based on Adaptive RBF Neural Network)

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