Abstract：Comprehensive evaluation of agricultural drought vulnerability is an important method to enhance agricultural drought risk management. The level of agricultural drought vulnerability in Sichuan Province from 2001 to 2015 was assessed by NNRW network method, and the performances of NNRW evaluation model were tested. The study results indicate that, the degree of agricultural drought in Sichuan shows a weakening trend. The rapid economic development is the major driving factor. In conclusion, the various properties of NNRW network method are advantageous over the RBF and BP network model due to result of comparison. This study presents a new idea and method for agricultural drought risk management.
车四方, 舒维佳. 基于随机权神经网络的农业旱灾脆弱性评价[J]. 中国防汛抗旱, 2018, 28(2): 50-55.
Che Sifang, Shu Weijia. Vulnerability evaluation and analysis for agricultural drought based on neural network with random weights. journal1, 2018, 28(2): 50-55.
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2018, Vol. 28 
