节点文献
基于学习向量量化神经网络的农业干旱综合指标分析
Analysis on Comprehensive Drought Assessment Index of Agriculture Based on LVQ Neural Network Model
【摘要】 探讨了多种影响因素共同影响下的综合干旱评价指标等级评定,介绍了利用学习向量量化(LVQ)神经网络模型,将它应用于农业干旱综合指标评价,改进了干旱等级评价的计算方法,实例评价结果和历史记载取得较好一致性,具有较好的实用性,为改进农业干旱综合评价提供了一种简捷的分类评价方法。
【Abstract】 The building-up of the comprehensive drought assessment model under the common effect of influential factors is discussed and the LVQ neural network model is introduced.The model is applied to the comprehensive drought assessment model,to improve the calculating method of the drought assessment model.The example verification results are well consistent with the history records.The research is of practicality and provides a simple way for the comprehensive drought evaluation of agriculture.
【关键词】 农业;
干旱指标;
LVQ网络模型;
综合评价;
【Key words】 agriculture; drought index; LVQ network model; comprehensive assessment;
【Key words】 agriculture; drought index; LVQ network model; comprehensive assessment;
- 【文献出处】 水利与建筑工程学报 ,Journal of Water Resources and Architectural Engineering , 编辑部邮箱 ,2006年04期
- 【分类号】S423
- 【被引频次】9
- 【下载频次】365