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ANN Based Method for Evaluating the Uncertainty of Multi-data |
HAN Feng, WANG Jian-guo,QIAO Deng-jiang,DING Sheng |
Northwest Institute of Nuclear Technology, Xi'an, Shaanxi 710000, China |
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Abstract A method is proposed to evaluate the uncertainty of multi-data of radiation effect experiments. Combining the radial basis function neural network with mixture model, a RBF-based mixture density network is constructed and a learning algorithm is given. With the proposed method, the relationship and the uncertainty of multi-data of radiation effect experiments can all be calculated. Examples show the effectiveness of the proposed method.
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