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Control of chaotic system based on least squares support vector machine modeling
基于最小二乘支持向量机建模的混沌系统控制

Ye Mei-Ying,<br>
物理学报 , 2005,
Abstract: A new approach to control chaotic systems is presented. This control approach is based on least squares support vector machines (LS_SVMs) modeling. Compared wit h the feed_forward neural networks, the LS_SVM possesses prominent advantages: o ver fitting is unlikely to occur by employing structural risk minimization crite rion, the global optimal solution can be uniquely obtained owing to the fact tha t its training is performed through the solution of a set of linear equations. A lso, the LS_SVM need not determine its topology in advance, which can be automat ically obtained when the training process ends. Thus the effectiveness and feasi bility of this method are found to be better than those of the feed_forward neur al networks. The method does not needs an analytic model, and it is still effect ive when there are measurement noises. The chaotic systems with one_and two_ dim ensional nonlinear maps are used as examples for demonstration.
Influences of growth orientation on strain and strain relaxation of quantum dots
生长方向对量子点应变与应变弛豫的影响

Ye Ying,Zhou Wang-Min,<br>,周旺民
物理学报 , 2013,
Abstract: Different growth orientations influence the mechanical properties and behavior of quantum dots, due to the anisotropy of elasticity and surface energy of the material. In this paper, the relations of the strain energy, strain relaxation energy and free energy to growth orientation are analyzed for the self-assembled InAs/GaAs semiconductor quantum dots, based on finite element method of cubic elasticity theory. The results show that the strain relaxation of the (211) quantum dots is biggest, and that of the (100) quantum dots is smallest. These can provide the theoretical basis for the growth of quantum dots in a controlled fashion.
Chaotic time series prediction using least squares support vector machines
Ye Mei-Ying,Wang Xiao-Dong,<br>,汪晓东
中国物理 B , 2004,
Abstract: We propose a new technique of using the least squares support vector machines (LS-SVMs) for making one-step and multi-step prediction of chaotic time series. The LS-SVM achieves higher generalization performance than traditional neural networks and provides an accurate chaotic time series prediction. Unlike neural networks' training that requires nonlinear optimization with the danger of getting stuck into local minima, training LS-SVM is equivalent to solving a set of linear equations. Thus it has fast convergence. The simulation results show that LS-SVM has much better potential in the field of chaotic time series prediction.
银行抵押贷款逾期处理抵押品的相关会计核算

财会月刊 , 2011,
Abstract: 借款人以其或第三人的财产作为抵押向银行申请抵押贷款,若到期不能归还则转为逾期贷款。若逾期贷款超过了规定期限,在催收无效的情况下,银行应根据贷款合同依法对抵押品进行处理。抵押品的处理主要分为两种方式:作价入账和出售。笔者认为,在以上述两种途径处理逾期抵押贷款抵押品的过程中,现有的常用会计处理方法存在一些不合理之处。以下通过实例进行阐述。  一、抵押贷款转为逾期贷款的核算  借款人到期未能偿还抵押贷款本息,银行应将其贷款转为逾期贷款或关注贷款,并按规定计收罚息。
Realization of ANAMMOX in a rotating biological contactor
厌氧氨氧化在生物转盘系统中的实现

L Yongtao,DONG Lingxiao,YE Xiangde,WANG Zhiying,<br>吕永涛,董凌霄,向德,王志
环境科学学报 , 2007,
Abstract: 厌氧生物转盘系统中接种来自ASBR的厌氧污泥,在温度40~41℃、pH值为8.25~8.50和HRT为1.3d条件下连续运行142d,先后经历了以出水氨氮浓度略高于进水氨氮浓度为特征的污泥适应阶段、以氨氮小幅度去除为特征的厌氧氨氧化菌活性表现阶段及以氨氨和亚硝酸盐氮成比例并大幅度去除为特征的厌氧氨氧化菌活性提高阶段后,成功培养了厌氧氨氧化菌种,启动了反应.在进水氨氮和亚硝酸盐氮负荷均为0.051 kg·m-3·d-1情况下,对二者的去除率分别达到了98.15%和99.56%.污泥的颜色也发生了由黑色→黄白色→棕红色→棕褐色等一系列的变化,通过显微镜镜检发现污泥中细菌主要是革兰氏阴性菌,有短杆状和球状,扫描电镜镜检发现颗粒污泥表面有球状菌的聚集体.
一种有气隙磁元件高频绕组损耗的测量评估方法
, 陈为
中国电机工程学报 , 2015, DOI: 10.13334/j.0258-8013.pcsee.2015.07.024
Abstract: 有气隙磁元件的气隙参数设计对绕组交流损耗影响很大,但目前还缺少测量其绕组损耗的有效方法。对有气隙磁元件绕组损耗的产生机理及相关电磁理论进行分析的基础上,提出一种基于气隙等效绕组磁动势替代气隙磁压降的绕组损耗测量方法,通过测试对比验证该方法能有效地评估绕组交流损耗的各种影响因素。进一步采用电磁场三维有限元仿真验证测量结果的准确性,为有气隙磁元件的气隙设计以及绕组损耗分析提供一种有效的测量或评估对比方法,也可以用于从其他方法测量得到的磁元件总损耗中扣除绕组损耗,从而获得磁芯损耗。
Chaotic time series forecasting using online least squares support vector machine regression
基于在线最小二乘支持向量机回归的混沌时间序列预测

YE Mei-Ying,Wang Xiao-Dong,ZHANG Hao-ran,<br>,汪晓东,张浩然
物理学报 , 2005,
Abstract: 提出了一种基于在线最小二乘支持向量机(LS-SVM)回归的混沌时间序列的预测方法.与离线支持向量机相比,在线最小二乘支持向量机预测方法即使当混沌系统的参数随时间变化时仍然有效.以Chen's混沌系统、Rssler混沌系统、Hénon映射及脑电(EEG)信号四种混沌时 间序列为例评估本文提出的预测方法,结果验证了其混沌时间序列预测的有效性.
STUDY ON AQUATICD OFF FLAVORS IN EUTROPHIC DONGHU LAKE
东湖富营养水体中藻菌异味性次生代谢产物的研究

XU Ying,<br>徐
生态学报 , 1999,
Abstract: The Donghu Lake,in Hube Province,is selected as a typical eutrophic water for the study.The off flavor compounds from different locations monthly were indentified and monitored in the years from 1995 to 1996.Meanwhile,the species and biomasses for algae and bacteria were identified and counted.It was found that the principal compound producing earthy musty odors in the Donghu Lake was 2 methylisobornel (MIB),which came from the secondary metabolites of P.tenue and Actinomycets. There were three apex periods for MIB occurrences,i,e.January,April and September.Furthermore,their concentrations were directly proportional to the eutrophication levels and the biomasses of P.tenue and Actinomycets.
基于T-S模糊模型的复杂系统的灵敏度分析
正茂,赵慧,张尚,韩俊伟
控制与决策 , 2006,
Abstract: 为模拟空间对接强制校正阶段的推出和拉近过程,提出基于六自由度并联机器人位置内环的柔顺力控制策略.综合考虑参数变化、模型变动和外来干扰等不确定性,利用μ综合控制理论设计鲁棒力控制器,并通过μ分析比较鲁棒力控制器和经典力控制器的鲁棒稳定性和鲁棒性能.鲁棒力控制器和经典力控制器的实验结果,表明了所设计鲁棒力控制器的有效性和优越性.
SPC-01催化剂上MTBE裂解制异丁烯及其裂解动力学
,李涛,徐泽辉,房鼎业
华东理工大学学报 , 2009,
Abstract: 甲基叔丁基醚(MTBE)裂解是一条比较理想的生产高纯度异丁烯的工艺路线。采用管式反应器,在170~230℃、0.2~0.6MPa、液相空速0.5~2h-1的条件下,对SPC-01型固体杂多酸催化剂上甲基叔丁基醚裂解制异丁烯的工艺进行了研究,考察了操作条件对裂解过程的影响。当反应压力为0.4MPa、反应温度为210~230℃、液相空速为0.5~1.0h-1时,MTBE转化率高于92.2%,异丁烯和甲醇选择性均大于99.9%。采用一维平推流积分反应器模型建立幂函数裂解动力学方程,利用最小二乘法对动力学实验数据进行参数拟合,获得了裂解动力学方程,并对模型进行了检验。
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