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机译:基于PLS的加权人工神经网络方法预测污染管道内的α放射性
Key Subject Laboratory of National Defense for Radioactive Waste and Environmental Security, Southwest University of Science and Technology, Mianyang 621000, China,State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China;
State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China;
State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China;
State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China;
State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China;
机译:基于PLS的加权人工神经网络方法预测污染管道内的α放射性
机译:基于PLS的加权人工神经网络方法预测污染管道内的α放射性
机译:一种新方法,用于使用人工神经网络和基于基础,基于核,基于基础的PTA表面涂层的磨损损失的方法
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机译:污染管内α放射性预测的基于PLS的加权人工神经网络方法