期刊文献+
共找到2篇文章
< 1 >
每页显示 20 50 100
基于松鼠觅食算法优化LSSVM的泥石流预测
1
作者 李璐 张永强 +3 位作者 李丽敏 马媛 窦婉婷 王悦 《计算机测量与控制》 2023年第8期238-244,共7页
针对山区村镇泥石流影响因素多元复杂、LSSVM算法参数随机导致的精度不佳及陷入局部最优问题,采用核主成分分析KPCA降维、SSA算法参数寻优的方法建立LSSVM泥石流灾害预测模型;以山阳县中村镇泥石流为例,分析泥石流全域地形地貌成灾因子... 针对山区村镇泥石流影响因素多元复杂、LSSVM算法参数随机导致的精度不佳及陷入局部最优问题,采用核主成分分析KPCA降维、SSA算法参数寻优的方法建立LSSVM泥石流灾害预测模型;以山阳县中村镇泥石流为例,分析泥石流全域地形地貌成灾因子,对数据预处理清洗规范,利用KPCA主成分贡献率选取出6个成灾因子作为LSSVM算法的输入数据,泥石流发生概率为输出,建立泥石流预报模型,并用SSA算法进行模型参数的优化;将SSA寻优后的LSSVM预测结果与GA、GC参数寻优模型预测结果比对,结果表明SSA-LSSVM准确率达到93.2%,相比其他模型提高[4.8%-1.4%],且SSA算法优化的LSSVM模型的MAE、MSE和RMSE最小且接近于零,同时从泥石流发生的预报等级维度进行结果比对分析,结果进一步说明模型预测的精度及稳健性;该研究说明SSA-LSSVM算法可用于泥石流灾害发生概率的预测,为此类灾害预测提供了科学依据。 展开更多
关键词 LSSVM 松鼠觅食SSA KPCA 泥石流预测模型
下载PDF
A Regional-Scale Method of Forecasting Debris Flow Events Based on Water-Soil Coupling Mechanism 被引量:8
2
作者 ZHANG Shao-jie WEI Fang-qiang +2 位作者 LIU Dun-long YANG Hong-juan JIANG Yu-hong 《Journal of Mountain Science》 SCIE CSCD 2014年第6期1531-1542,共12页
A debris flow forecast model based on a water-soil coupling mechanism that takes the debrisflow watershed as a basic forecast unit was established here for the prediction of disasters at the watershed scale.This was a... A debris flow forecast model based on a water-soil coupling mechanism that takes the debrisflow watershed as a basic forecast unit was established here for the prediction of disasters at the watershed scale.This was achieved through advances in our understanding of the formation mechanism of debris flow.To expand the applicable spatial scale of this forecasting model,a method of identifying potential debris flow watersheds was used to locate areas vulnerable to debris flow within a forecast region.Using these watersheds as forecasting units and a prediction method based on the water-soil coupling mechanism,a new forecasting method of debris flow at the regional scale was established.In order to test the prediction ability of this new forecasting method,the Sichuan province,China was selected as a study zone and the large-scale debris flow disasters attributable to heavy rainfall in this region on July 9,2013 were taken as the study case.According to debris flow disaster data on July 9,2013 which were provided by the geo-environmental monitoring station of Sichuan province,there were 252 watersheds in which debris flow events actually occurred.The current model predicted that 265 watersheds were likely to experience a debris flow event.Among these,43 towns including 204 debrisflow watersheds were successfully forecasted and 24 towns including 48 watersheds failed.The false prediction rate and failure prediction rate of thisforecast model were 23% and 19%,respectively.The results show that this method is more accurate and more applicable than traditional methods. 展开更多
关键词 Debris flow Forecasting Water-soil coupling mechanism WATERSHED
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部