The increasingly mature nonlinear technique can facilitate accurate forecasting of transient sap flow process of plant.In this paper,the dominated tree species,Pinus tabulaeformis and Platycladus orientalis in Beijing...The increasingly mature nonlinear technique can facilitate accurate forecasting of transient sap flow process of plant.In this paper,the dominated tree species,Pinus tabulaeformis and Platycladus orientalis in Beijing mountainous area were chosen for study.Their monitoring data range from June 18 th to September 9 th 2007 was derived to form the 1 985 sets of sample respectively.BP (back propagation) neural network models were established according to the theory of automaton network of discrete dynamic system,the target output of which was sap flow velocity and the inputs of which consisted of five influencing factors,ie,air temperature,relative humidity,light intensity,stem diameter growth and soil water potential.To improve the generalization quality of networks,Bayesian regularization and early stopping modes were involved in the training process.After training in two modes above,the linear regression between simulated outputs and the corresponding targets of test sample sets showed good fits (R>0.85),which indicated a high forecasting precision of the models established,specifically when 11 neurons in hidden layer.Models demonstrated fine generalization under the two training modes in that the fit of test sample was equivalent to that of training sample,which further indicated their availability in practice.展开更多
目的:评价乳酸清除率目标指导治疗对严重感染和感染性休克的治疗效果。方法:选择符合严重感染和感染性休克诊断标准的患者50例,随机分为试验组25例采用乳酸清除率目标指导治疗,对照组25例采用早期目标指导治疗。结果:治疗组28 d病死率...目的:评价乳酸清除率目标指导治疗对严重感染和感染性休克的治疗效果。方法:选择符合严重感染和感染性休克诊断标准的患者50例,随机分为试验组25例采用乳酸清除率目标指导治疗,对照组25例采用早期目标指导治疗。结果:治疗组28 d病死率明显低于对照组(60% vs 32%)。结论:乳酸清除率目标指导治疗有益于严重感染和感染性休克患者。展开更多
文摘The increasingly mature nonlinear technique can facilitate accurate forecasting of transient sap flow process of plant.In this paper,the dominated tree species,Pinus tabulaeformis and Platycladus orientalis in Beijing mountainous area were chosen for study.Their monitoring data range from June 18 th to September 9 th 2007 was derived to form the 1 985 sets of sample respectively.BP (back propagation) neural network models were established according to the theory of automaton network of discrete dynamic system,the target output of which was sap flow velocity and the inputs of which consisted of five influencing factors,ie,air temperature,relative humidity,light intensity,stem diameter growth and soil water potential.To improve the generalization quality of networks,Bayesian regularization and early stopping modes were involved in the training process.After training in two modes above,the linear regression between simulated outputs and the corresponding targets of test sample sets showed good fits (R>0.85),which indicated a high forecasting precision of the models established,specifically when 11 neurons in hidden layer.Models demonstrated fine generalization under the two training modes in that the fit of test sample was equivalent to that of training sample,which further indicated their availability in practice.
文摘目的:评价乳酸清除率目标指导治疗对严重感染和感染性休克的治疗效果。方法:选择符合严重感染和感染性休克诊断标准的患者50例,随机分为试验组25例采用乳酸清除率目标指导治疗,对照组25例采用早期目标指导治疗。结果:治疗组28 d病死率明显低于对照组(60% vs 32%)。结论:乳酸清除率目标指导治疗有益于严重感染和感染性休克患者。
