[Objectives]To explore the agricultural water resources utilization and management under the agricultural safety aim.[Methods]Fuzzy neural network algorithm was adopted.The evaluation model of agricultural water resou...[Objectives]To explore the agricultural water resources utilization and management under the agricultural safety aim.[Methods]Fuzzy neural network algorithm was adopted.The evaluation model of agricultural water resources utilization and management carrying capacity based on quantitative system was established.[Results]With the remarkable improvement of China's national income,great progress has been made in China's agricultural development.However,in the process of agricultural safety production,the problem of sustainable development has not been noticed,the problem of water resources exceeding the limit bearing capacity frequently occurs.[Conclusions]It is of great significance to effectively solve the problem of water resources utilization and management.In the feasibility test for the algorithm,further tests on various indicators show that the research is feasible.展开更多
针对综合能源系统(integrated energy system,IES)中储能事故备用容量优化利用问题,提出一种基于风险量化的经济优化调度模型。首先,构建某电池生产园区IES能量框架,并针对重要负荷建立其脱网后需求模型。然后,以脱网后切负荷损失与运...针对综合能源系统(integrated energy system,IES)中储能事故备用容量优化利用问题,提出一种基于风险量化的经济优化调度模型。首先,构建某电池生产园区IES能量框架,并针对重要负荷建立其脱网后需求模型。然后,以脱网后切负荷损失与运行成本之和最小为目标,并结合综合考虑天气类型、负载率水平以及脱网类型的脱网概率构建脱网损失模型,将脱网风险进行量化,同时可求解出脱网后的最优负荷投切方案及最小损失。基于此,以并网期望收益与脱网期望损失之差最大为目标,构建基于风险量化的IES经济优化调度模型,以此优化利用储能事故备用容量,提高系统并网运行经济性,通过外层/内层粒子群算法进行求解,得出并网能源最优调度方案及对应的期望收益。最后,以夏季典型日为例进行仿真,验证所提方法的有效性。展开更多
基金Supported by Special Scientific Research Program of Shaanxi Provincial Department of Education"Study on the Development of Farmer Water Use Cooperative Organizations from the Dual Perspectives of Social Capital and Organizational Structure"(13YJC790135)Project of Social Science Foundation of Shaanxi Province"Study on Development of Farmer Water Use Cooperative Organization in Guanzhong Irrigation Area Based on the Withdrawal Behavior of Members"(2016D026)Special Scientific Research Fund Project of Xianyang Normal University"Study on Member Heterogeneity and the Governance of Farmers Fund Mutual Aid Organizations"(14XYK056).
文摘[Objectives]To explore the agricultural water resources utilization and management under the agricultural safety aim.[Methods]Fuzzy neural network algorithm was adopted.The evaluation model of agricultural water resources utilization and management carrying capacity based on quantitative system was established.[Results]With the remarkable improvement of China's national income,great progress has been made in China's agricultural development.However,in the process of agricultural safety production,the problem of sustainable development has not been noticed,the problem of water resources exceeding the limit bearing capacity frequently occurs.[Conclusions]It is of great significance to effectively solve the problem of water resources utilization and management.In the feasibility test for the algorithm,further tests on various indicators show that the research is feasible.
文摘目的开发并验证一个基于术中指标在非心胸手术患者术后呼吸衰竭(postoperative respiratory failure,PRF)的机器学习预测模型。方法纳入西南医院2014年1月至2019年6月行非心胸手术患者705例[训练集565例(PRF 128例),测试集140例(PRF 35例)]、华西医院2019年5月至2020年1月和中山医院2019年6月至2019年12月行非心胸手术患者164例[验证集164例(PRF 41例)]。提取患者19项术中预测指标,通过6种机器学习算法:梯度提升模型(gradient boosting model,GBM)、广义线性模型(generalize linear model,GLM)、k-近邻(k-nearest neighbor,KNN)、朴素贝叶斯(naive bayes,NB)、神经网络(neural network,NNET),支持向量机(support vector machine linear,SVM)开发及测试模型,并在验证集进行验证,通过各模型间性能对比,筛选出最佳模型,最终建立网页预测模型。结果GBM获得了最佳性能,准确性76.2%(95%CI:69.0%~82.5%),受试者操作曲线下面积(area under the subject curve,AUC):0.794(95%CI:0.707~0.882),精准-召回曲线下面积(area under the precision-recall curve,AUPRC):0.641,Brier评分:0.169。结论基于GBM算法开发的模型具有更高的泛化性、准确性、临床实用性,并有助于避免过度拟合。建立的网页预测模型(http://150.158.55.139)可为患者PRF提供新的动态评估方法,量化手术风险。
文摘针对综合能源系统(integrated energy system,IES)中储能事故备用容量优化利用问题,提出一种基于风险量化的经济优化调度模型。首先,构建某电池生产园区IES能量框架,并针对重要负荷建立其脱网后需求模型。然后,以脱网后切负荷损失与运行成本之和最小为目标,并结合综合考虑天气类型、负载率水平以及脱网类型的脱网概率构建脱网损失模型,将脱网风险进行量化,同时可求解出脱网后的最优负荷投切方案及最小损失。基于此,以并网期望收益与脱网期望损失之差最大为目标,构建基于风险量化的IES经济优化调度模型,以此优化利用储能事故备用容量,提高系统并网运行经济性,通过外层/内层粒子群算法进行求解,得出并网能源最优调度方案及对应的期望收益。最后,以夏季典型日为例进行仿真,验证所提方法的有效性。
