Nuclear Science and Technology 核科学与技术, 2020, 8(1), 19-34 Published Online January 2020 in Hans. /journal/nst /10.12677/nst.2020.81003 吴文献事件
文章引用: 杨红义, 王端, 王东东. 神经网络算法在我国核领域中的应用综述[J]. 核科学与技术, 2020, 8(1): 19-34. DOI: 10.12677/nst.2020.81003 An Overview of the Application of Neural Network Algorithm in the Nuclear Field of China
Hongyi Yang 1, Duan Wang 2, Dongdong Wang 1
库仑定律教案1
China Institute of Atomic Energy, Beijing 2
宫崎滔天Graduate School of CNNC, Beijing
Received: Dec. 26th , 2019; accepted: Jan. 9th , 2020; published: Jan. 16th , 2020
Abstract
In the new wave of scientific and technological revolution, countries have upgraded artificial in-telligence to the level of national strategy. This paper first introduces the concept, development history, current research focus and development trend of AI, and expounds the necessity of pro-moting the integration of AI and China’s nuclear industry. Then it introduces the development history and four main network models of the current core technology of artificial intelligence, which is based on the deep learning neural network algorithm. It focuses on the analysis of its typical examples, application status and future trend in the nuclear field. Finally, it puts forward some suggestions to strengthen the development of the intelligence of China's nuclear industry. Keywords
Artificial Intelligence, Nuclear Field, Neural Network, Deep Learning
神经网络算法在我国核领域中的
铜仁社区
应用综述
瑶山杨红义1,王 端2,王东东1党校学历
1
核工业研究生部,北京
收稿日期:2019年12月26日;录用日期:2020年1月9日;发布日期:2020年1月16日